Inter-area oscillation damping in large scale power systems with unified power flow controllers

Size: px
Start display at page:

Download "Inter-area oscillation damping in large scale power systems with unified power flow controllers"

Transcription

1 Scholars' Mne Doctoral Dssertatons Student Research & Creatve Works Fall 2008 Inter-area oscllaton dampng n large scale power systems wth unfed power flow controllers Mahyar Zargham Follow ths and addtonal works at: Part of the Electrcal and Computer Engneerng Commons Department: Electrcal and Computer Engneerng Recommended Ctaton Zargham, Mahyar, "Inter-area oscllaton dampng n large scale power systems wth unfed power flow controllers" (2008) Doctoral Dssertatons Ths Dssertaton - Open Access s brought to you for free and open access by Scholars' Mne It has been accepted for ncluson n Doctoral Dssertatons by an authorzed admnstrator of Scholars' Mne Ths work s protected by U S Copyrght Law Unauthorzed use ncludng reproducton for redstrbuton requres the permsson of the copyrght holder For more nformaton, please contact scholarsmne@mstedu

2

3 INTER-AREA OSCILLATION DAMPING IN LARGE SCALE POWER SYSTEMS WITH UNIFIED POWER FLOW CONTROLLERS by MAHYAR ZARGHAMI A DISSERTATION Presented to the Faculty of the Graduate School of the MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY In Partal Fulfllment of the Requrements for the Degree DOCTOR OF PHILOSOPHY n ELECTRICAL ENGINEERING 2008 Approved by Maresa L Crow, Advsor Jagannathan Sarangapan Badrul H Chowdhury Mehd Ferdows Bruce M McMlln

4

5 PUBLICATION DISSERTATION OPTION Ths dssertaton has been prepared n the form of ten papers for publcaton The frst paper consstng from pages 3 to 2 has been publshed n the conference proceedngs of the 38 th North Amercan Power Symposum The second paper consstng from pages 22 to 28 has been publshed n IEEE Transactons on Power Systems, volume 22, ssue 4, Nov 2007 The thrd paper consstng from pages 29 to 46 has been publshed n the conference proceedngs of the 39 th North Amercan Power Symposum The fourth paper consstng from pages 47 to 65 s under revew for publcaton n the IEEE Transactons on Power Delvery The ffth paper consstng from pages 66 to 84 has been submtted for revew for publcaton n the IEEE Transactons on Power Systems The sxth paper consstng from pages 85 to 99 has been publshed n the conference proceedngs of the IEEE Power and Energy Socety 2008 Summer Meetng The seventh paper consstng from pages 00 to has been publshed n the conference proceedngs of the 40 th North Amercan Power Symposum The eghth paper consstng from pages 2 to 30 s n preparaton for submsson to the IEEE Transactons on Power Systems The nnth paper consstng from pages 3 to 46 has been accepted to be publshed n the conference proceedngs of the Power Systems Conference and Exposton 2009 The tenth paper consstng from pages 47 to 63 s n preparaton for submsson to the IEEE Transactons on Power Systems

6 v ABSTRACT Power system oscllatons occur n power networks as a result of contngences such as faults or sudden changes n load or generaton They are detrmental to the operaton of the system snce they affect system stablty and the optmal power flow through t These oscllatons do not usually damp out n te-lnes unless certan controls are appled to the system Local and nter-area oscllatons have tradtonally been controlled by Power System Stablzers (PSS) However, Flexble Alternatng Current Transmsson Controllers (FACTS) have sgnfcant potental as alternatves to PSS The man goal of ths research s to damp nter-area oscllatons by Unfed Power Flow Controllers (UPFC) UPFC s a seres-shunt FACTS devce whch s used for purposes such as the control of actve and reactve power flow through the corrdors of the system However, usng supplementary controls and proper coordnaton of UPFCs, they can be used for fast dampng of nter-area oscllatons n mult-area power systems The research conssts of ten papers There are several ssues assocated wth dynamc control of FACTS devces whch need to be taken nto consderaton In the frst two papers the role of pre-fault UPFC operatng ponts on the stablty and dynamc behavor of power systems s dscussed Lnear approaches for the control of nter-area oscllatons have been dscussed n the thrd and fourth papers Snce the dscussed algorthms for dampng oscllatons need global feedback data for control mplementaton, decentralzed and wde-area methods for dynamc state estmaton have been presented n the ffth and sxth papers Seventh paper shows that usng smlar methodologes to UPFCs, multple coordnated Statc Synchronous Compensators (STATCOM) can also be used for controllng power system oscllatons A nonlnear method for controllng oscllatons has been presented n the eghth paper Fnally, snce FACTS placement plays an mportant role n the dynamc behavor of the system, the last two papers propose two dfferent methods for optmal dynamc placement of UPFCs

7 v ACKNOWLEDGMENTS The author would lke to express hs deepest apprecaton to hs advsor, Dr Maresa L Crow for her contnuous gudance, advce and help durng ths research My apprecaton s extended to the members of advsory commttee, Dr Jagannathan Sarangapan, Dr Badrul H Chowdhury, Dr Mehd Ferdows and Dr Bruce M McMlln for ther tme and effort for revewng ths dssertaton Specal thanks to Dr Sarangapan for hs advces durng my work Fnancal support of the Natonal Scence Foundaton s gratefully acknowledged Last but not least, my work would have not been fulflled wthout blessngs of my dear parents, brothers and my lovely wfe Atousa

8 v TABLE OF CONTENTS PUBLICATION DISSERTATION OPTION ABSTRACT ACKNOWLEDGEMENTS LIST OF ILLUSTRATIONS LIST OF TABLES SECTION PAPER INTRODUCTION The Effect of Varous UPFC Operatng Ponts on Transent Stablty ABSTRACT I INTRODUCTION II THE POWER INJECTION MODEL OF THE UPFC III MULTIPLE OPERATING POINTS OF THE UPFC IV EFFECT OF PRE-FAULT OPERATING CONDITIONS ON TRANSIENT STABILITY V SIMULATIONS AND RESULTS VI CONCLUSIONS REFERENCES The Exstence of Multple Equlbra n the UPFC Power Inecton Model ABSTRACT I INTRODUCTION II THE UPFC STATE MODEL III ILLUSTRATIVE EXAMPLE IV SUMMARY AND CONCLUSIONS REFERENCES Dscusson on Effectve Control of Inter-Area Oscllatons by UPFCs ABSTRACT I INTRODUCTION II SYSTEM MODELING FOR CONTROLLER DESIGN III ONE STAGE CONTROLLER DESIGN Page v v x xv

9 v IV TWO STAGE CONTROLLER DESIGN V EXAMPLE AND DISCUSSION VI CONCLUSION REFERENCES A Novel Approach to Inter-Area Oscllaton Dampng by UPFC Voltage Control ABSTRACT I INTRODUCTION II THE UPFC MODEL III VOLTAGE CONTROL CONTROLLER DESIGN IV POWER CONTROL CONTROLLER DESIGN V THE TEST SYSTEM VI CONTROLLER RESULTS AND COMPARISONS VII CONCLUSIONS AND FUTURE WORK ACKNOWLEDGEMENTS APPENDIX REFERENCES Decentralzed Control and Placement of Multple UPFCs for Dampng Interarea Oscllatons: An LMI Approach ABSTRACT I INTRODUCTION II UPFC INTERACTIONS III CONTROL DEVELOPMENT IV CONTROL VALIDATION V UPFC PLACEMENT VI CONCLUSIONS APPENDIX REFERENCES

10 v 6 Dampng Inter-Area Oscllatons by UPFCs Based on Selected Global Measurements ABSTRACT I INTRODUCTION II TWO STAGE CONTROLLER III REDUCED ORDER ESTIMATOR DESIGN IV EXAMPLE AND DISCUSSION V CONCLUSIONS AND FURTHER WORK REFERENCES Dampng Inter-Area Oscllatons n Power System by STATCOMs ABSTRACT I INTRODUCTION II STATCOM MODEL III CONTROLLER DESIGN IV DECENTRALIZED CONTROLLER V THE TEST SYSTEM VI EXAMPLES AND RESULTS VII CONCLUSIONS AND FURTHER WORK APPENDIX REFERENCES Nonlnear Control of FACTS Devces for Dampng Inter-Area Oscllatons n Wde-Area Power Systems ABSTRACT I INTRODUCTION II THE UPFC MODEL III SYSTEM MODEL IV CONTROLLER DESIGN V SELECTIVE FEEDBACK MEASUREMENTS BASED ON DOMINANT MACHINES VI EXAMPLE AND RESULTS

11 x VII CONCLUSIONS APPENDIX REFERENCES Optmal Placement and Sgnal Selecton for Wde-Area Controlled UPFCs for Dampng Power System Oscllatons ABSTRACT I INTRODUCTION II UPFC MODEL III CONTROLLER DESIGN IV PLACEMENT FOR STABILITY IMPROVEMENT V OBSERVER DESIGN VI EXAMPLES AND RESULTS VII CONCLUSIONS AND FURTHER WORK APPENDIX REFERENCES Dynamc Placement and Sgnal Selecton for UPFCs n Wde-Area Controlled Power Systems ABSTRACT I INTRODUCTION II DETERMINING THE TABLE OF MOST DOMINANT BRANCHES (MDB) SECTION III ALGORITHM FOR DYNAMIC FACTS PLACEMENT- AND SIGNAL SELECTION IV CONTROLLER DESIGN V EXAMPLES AND RESULTS VI CONCLUSIONS AND FURTHER WORK APPENDIX REFERENCES CONCLUSIONS VITA

12 x LIST OF ILLUSTRATIONS Fgure Page PAPER Power Inecton Model of the UPFC Embedded nto the Lne from Bus to Bus Actve Power Balance n Steady-State Condtons Operatng Plots of the UPFC UPFC Inected Seres Actve Power n Example a UPFC Inected Seres Reactve Power n Example a ac voltage of the shunt converter of the UPFC n Example a ac bus voltage of the UPFC n Example a UPFC Inected Seres Actve Power n Example b UPFC Inected Seres Reactve Power n Example b ac voltage of the shunt converter of the UPFC n Example b ac bus voltage of the UPFC n Example b UPFC Inected Seres Actve Power n Example 2a UPFC Inected Seres Reactve Power n Example 2a ac voltage of the shunt converter of the UPFC n Example 2a ac bus voltage of the UPFC n Example 2a UPFC Inected Seres Reactve Power n Example 2b UPFC Inected Seres Reactve Power n Example 2b ac voltage of the shunt converter of the UPFC n Example 2b ac bus voltage of the UPFC n Example 2b PAPER 2 Unfed Power Flow Controller Dagram UPFC Equvalent Model UPFC parameters for varatons n P Dynamc response of UPFC seres actve power

13 x PAPER 3 Unfed Power Flow Controller Dagram Equvalent Power System from the Controller s Vew Power Inecton Model for UPFC Two Stage Control Desgn IEEE 8 Bus Test System Speed Devatons Modulaton Ampltudes and Angles UPFC Currents UPFC ac & dc Voltages PAPER 4 Unfed Power Flow Controller Dagram Equvalent power system from the voltage control vew Two stage control desgn IEEE 8 bus test system Generator frequency UPFC voltages UPFC recevng end power flows UPFC nected voltage UPFC nected actve power UPFC nected reactve power UPFC shunt actve power UPFC dc lnk capactor voltages UPFC dc lnk capactor voltages under power control longer duraton PAPER 5 UPFC nteracton n the 8 bus system generator frequences UPFC nteracton n the 8 bus system actve power flow lnes Ae matrx

14 x 4 IEEE 8 bus test system Proposed control response n the IEEE 8 bus test system Actve power flow on te lnes wth proposed control UPFC seres actve power flow Comparson of dfferent placements PAPER 6 Unfed Power Flow Controller Dagram Power Inecton Model for UPFC Equvalent Power System from the Controller s Vew Two Stage Control Desgn IEEE 4 Bus Test System Machne speeds 2,4, Machne speeds 2,4, Machne speeds 2,4, Machne speeds,2, PAPER 7 STATCOM Dagram Equvalent Power System from the Controller s Vew Two Stage Control Desgn IEEE 8 Bus Test System Speed devatons STATCOM bus voltage magntudes STATCOM bus voltage angles STATCOM dc voltages STATCOM nected actve powers

15 x PAPER 8 Unfed Power Flow Controller Dagram Equvalent power system from the controller vewpont The three stage control process bus, 6 generator test system Generator speeds for no FACTS devces (bold) and Case I (thn) Generator speeds for Case I (bold), Case II (thn), and Case III (dashed) UPFC nected actve power STATCOM actve power necton FACTS Vdc PAPER 9 Unfed Power Flow Controller Dagram Power Inecton Model for UPFC Equvalent Power System from the Controller s Vew Machne rotor speeds Generator rotor speeds PAPER 0 Unfed Power Flow Controller Dagram Equvalent Power System from the Controller s Vew IEEE 8 Bus Test System Comparson of placements for rotor speeds Comparson of rotor speeds Comparson of rotor speeds for controlled and uncontrolled

16 xv LIST OF TABLES Table Page PAPER I PI Controlled Parameters for Examples and PAPER 4 I UPFC Parameters II Controller Comparsons III Domnant Modal Content PAPER 5 I Assessment of Control Performance and Control Effort of UPFC Placements PAPER 6 I Smulaton Cases Accordng to the Feedback and Estmated States PAPER 7 I STATCOM Parameters

17 xv PAPER 8 I FACTS Parameters PAPER 9 I UPFC Parameters II UPFC Placements Sorted by Placement Indces (PIs) III Comparson of the Placements Based on Speed Profle Index IV Measurement Canddates Sorted by Observaton Indces (OIs) PAPER 0 I UPFC Parameters II Most Domnant Branches and Ther Influence on Inter-Area Modes III Comparson of the Placements Based on Speed Profle Index IV Output Measurements for Observer Desgn

18 INTRODUCTION Today, FACTS controllers have become less expensve and because of ther fast response to system dsturbances they wll be used even more extensvely n the future However, there are stll problems assocated wth ther applcaton especally n the dynamc control area Phenomena such as nter-area oscllatons mpact power systems n wde area dstances For the same reason, controllng such phenomena needs proper coordnaton between the controllng devces The man goal of ths research s to damp nter-area oscllatons n mult-area power systems usng multple FACTS devces The UPFC s the most versatle FACTS devce and the focus of ths research has been based on the applcaton of multple UPFCs for dampng oscllatons In the lterature, there have been several methods proposed for the control of UPFCs based on lnear and nonlnear methods However, the applcaton of most of these methods s lmted to the control of an ndvdual UPFC wthout ts coordnaton wth other devces Consderng that mult-area power systems have several oscllaton modes, more than one FACTS devce s needed n order to affect all those modes Thus, coordnaton of the devces becomes an mportant ssue In ths research whch conssts of ten papers, several contrbutons have been made n the area of dynamc control of the UPFC for the purpose of dampng nter-area oscllatons In the ntal work, t has been shown that the pre-fault operatng status of UPFC plays an mportant role n ts dynamc behavor Ths has been dscussed n the frst two papers Then, a novel method has been proposed for the control of nter-area oscllatons usng UPFCs based on controllng ther bus voltages Papers three and four descrbe ths method and show ts comparson wth other methods The proposed methods for oscllaton dampng generally need global feedback data for mplementaton However n practce, global feedback s not avalable and dynamc feedback estmaton s usually needed A decentralzed method based on Lnear Matrx Inequalty (LMI) approach has been dscussed n the ffth paper Decentralzed methods usually use local measurements for data estmaton As these local measurements mght not always be adequate for proper feedback estmaton, a centralzed wde-area method for feedback estmaton based on selected global measurements usng reduced order observers has been dscussed n the sxth paper Although the focus of the research s on the UPFC, n the seventh paper t has been shown that usng smlar methodologes for system modelng and control, t s also possble to use multple STATCOMs for dampng power system oscllatons The next contrbuton of ths research s to propose a new nonlnear method for oscllaton dampng whch has been descrbed n the eghth paper Snce dynamc placement of FACTS controllers plays an mportant role on

19 2 the dynamc behavor of the power system, the other contrbuton of ths research has been devoted to two dfferent methods for dynamc placement of UPFCs whch have been dscussed n the nnth and tenth papers

20 3 The Effect of Varous UPFC Operatng Ponts on Transent Stablty Mahyar Zargham Maresa L Crow Department of Electrcal and Computer Engneerng Mssour Unversty of Scence and Technology, MO, 65409, USA ABSTRACT: In ths paper, t s shown that usng the power necton model for a UPFC, there exst sets of operatng ponts for whch the same amount of ac bus voltage and actve/reactve seres power nectons can be evaluated These varous operatng ponts are desgnated by dfferent dc bus voltages ( ) and modulaton ampltudes ( k, k ) and phases Vdc 2 ( α α ) Smulatons show that the dynamc behavor of a UPFC could be related to ts pre-fault, 2 operatng stuatons The queston to be answered s to verfy whch operatng pont would be the best canddate from a network stablty pont of vew A lnear approach based on the egenvalue problem has been used to answer the queston and satsfactory results have been outlned Index Terms: UPFC, Transent Stablty I INTRODUCTION The power necton model has so far been wdely used for power system smulatons where FACTS devces such as UPFCs exst n a network In ths approach, UPFCs are modeled by convertng ther phasor varables nto the dq0 doman, whch has the advantage that n steadystate, the UPFC varables are constant In addton, t s possble to drectly ncorporate the dfferental-algebrac equatons of the UPFC nto the power network Usng the power necton model, the acton of a UPFC n the network s represented by ts seres and shunt current nectons where these currents are controlled by the varatons of the dc bus ( V dc ) and modulaton ampltudes ( k, k2) and phases ( α, α 2) [] In ths paper, t wll be shown that for the same ac bus voltage and actve/reactve seres power necton n a UPFC, there exsts a set of operatng ponts desgnated by dfferent sets of V, dc k, α,, k2 α 2 values Although each of these sets of control parameters result n the same power necton model,

21 4 the dfferent control parameter sets have dfferent mpacts on transent stablty Therefore, the choce of a proper operatng pont s of vtal mportance Some work already exsts n the lterature related to the choce of optmal set of operatng ponts for the FACTS devces n steadystate condtons These approaches mostly focus on the operaton of the system from aspects such as optmal power flow and UPFC nternal constrants [2, 3] Despte the work done so far, there s stll consderable work to be done n the area of the system dynamcs to analyze the effect of varous operatng ponts on the stablty and control of the power system In the followng sectons, the power necton model wll be descrbed along wth an algorthm for fndng sets of operatng ponts of UPFCs These operatng ponts are vsualzed usng correspondng operatng plots In the plots, the stable/unstable regons are desgnated based on determnng the egenvalues of the lnearzed power system state space matrx evaluated at steady-state Power system smulatons have been accomplshed to fnd a probable relaton between the stable/unstable pre-fault operatng areas and the lkelhood of the power system to go unstable after a fault Observatons are reported and further work s proposed II THE POWER INJECTION MODEL OF THE UPFC The equatons of the power necton model for the UPFC are taken from [4] It s assumed that the power system s balanced and therefore no zero sequence voltages and currents exst n the network There are bascally nne equatons governng a UPFC and ts nterface to the power network Each of the seres and shunt parts has two dfferental equatons and there s one dfferental equaton relatng the seres and shunt parts through the dc lnk The four remanng algebrac equatons nterface the UPFC wth the power network through the two buses of the UPFC The two buses of the UPFC are denoted as Bus and Bus2, where Bus s the bus connected to the shunt transformer of the UPFC The equatons that descrbe the shunt part of the UPFC are: R k V = + + cos( + ) V cosθ () ω B d d q θ α dc X X X R k V = + sn( + ) V snθ (2) ω B q q d θ α dc X X X Smlarly, the seres equatons are:

22 5 R k V V = + + cos( + ) V cos + cosθ (3) ω B d2 d2 q θ 2 α2 dc θ2 X2 X2 X2 X2 R k V V = + sn( + ) V sn + snθ (4) ω B q2 q2 d θ 2 α2 dc θ2 X2 X2 X2 X2 The equaton for the dc capactor that lnks the shunt and seres parts s: C V dc = k cos( θ+ α) d k sn( θ+ α) q B ω V k2cos( θ+ α2) d k 2 2sn( θ+ α2) q 2 R dc p (5) The power balance equatons at Bus are: V (cos( θ )( ) + sn( θ )( )) V V Y cos( θ θ Φ ) = 0 (6) d d2 q q2 = V (sn( θ )( ) cos( θ )( )) V VY sn( θ θ Φ ) = 0 (7) d d2 q q2 = n n Fnally the power balance equatons at Bus2 are: n V2(cos( θ2) d + sn( θ = 2 2) q ) V 2 2 VY 2cos( θ2 θ Φ2) 0 (8) = n V2(sn( θ2) d cos( θ = 2 2) q ) V 2 2 VY2 cos( θ2 θ Φ2 ) 0 (9) = where the followng varables are defned: ω B : Base frequency of the network (rad/s) R, X R 2, X 2 : Equvalent Resstance & Reactance of the shunt transformer (pu) : Equvalent Resstance & Reactance of the seres transformer (pu)

23 6 d, q : The shunt currents of the UPFC n the drect and quadrature axes, respectvely (pu) d, 2 q2 : The seres currents of the UPFC n the drect and quadrature axes, respectvely (pu) k, k 2 : Ampltude modulaton ndces of the shunt and seres parts, respectvely α, α 2 : Phase modulaton ndces of the shunt and seres parts, respectvely Vdc : dc lnk capactor voltage (pu) C : Capactance of the dc lnk (pu) R p losses (pu) : Equvalent resstance parallel wth the capactor of the dc lnk, representng the dc III MULTIPLE OPERATING POINTS OF THE UPFC In ths secton, we verfy the exstence of multple operatng ponts of a UPFC n steadystate condtons Fg shows a UPFC embedded nto a lne between buses and 2 We mean to regulate the actve/reactve power flow through the lne as V sc the ac bus of the UPFC as P sc / Q sc and the voltage magntude at V sc + Bus d 2 q 2 Bus 2 + d q P sc + Q sc Fg Power necton model of the UPFC embedded nto the lne from Bus to Bus2 In a conventonal power system wth no FACTS devce, two actve/reactve power flow equatons can be wrtten at every PQ bus Wth the ntroducton of a UPFC nto the power system, the four power flow equatons at buses and 2 cannot be wrtten n ther conventonal form anymore These four equatons are vtal for the evaluaton of two voltage magntudes and two voltage phases Instead of the four powerflow equatons to determne the bus voltages magntude and angle, equatons (6)-(9) are used But equatons (6)-(9) ntroduce four addtonal

24 7 unknowns of nto the system However, because V = Vsc s known, there are actually, d q, d2 q 2 only three addtonal unknowns Usng equatons ()-(5) also adds the addtonal unknowns ofv, dc k, α,, k2 2 α So up to ths pont, the UPFC has 9 addtonal equatons and 2 addtonal unknowns In order for the system to be solvable, 3 more equatons are needed for every UPFC From the power necton model, two of the equatons can be wrtten as: V (cos( θ ) + sn( θ ) ) = P UPFC (0) 2 2 d2 2 q2 V (sn( θ ) cos( θ ) ) = Q () 2 2 d2 2 q2 UPFC To develop the last equaton, consder Fg 2 Here, actve power balance at the dc lnk n steady-state can be wrtten as: P shunt 2 dc V + Pseres = (2) R p where P and P are the actve powers nected from the shunt and seres parts of the shunt seres UPFC, respectvely More specfcally, these two powers can be wrtten as: P = kv + + kv + (3) cos( θ α ) sn( θ α ) shunt dc d dc q P cos( ) sn( ) seres =+ kv 2 dc θ + α2 d + kv 2 2 dc θ +α 2 q (4) 2 P shunt P seres Shunt Converter V R 2 dc p Seres Converter Fg 2 Actve Power Balance n Steady-State Condtons Consderng P shunt to be specfed, equaton (3) s the last equaton needed to determne the UPFC parameters Snce P shunt s a specfed value, each value of P shunt determnes a possble UPFC operatng pont Fgs 3 show sets of operatng k, k and V plots for a UPFC nstalled between buses and 2 dc

25 8 2 n the IEEE 8 bus test system The parameters of the UPFC have been gven n Secton V As can be seen n Fg 3a, there s a large varaton n the value of However, the value of UPFC to be equal to V sc kv dc k wth changes of P remans around pu to regulate the voltage of the ac bus of the The dotted lnes n Fg 3 represent the unstable regons determned by the egenvalues of the lnearzed system explaned n secton IV shunt IV EFFECT OF PRE-FAULT OPERATING CONDITIONS ON TRANSIENT STABILITY In ths secton, the effect of the ntal operatng pont on the transent stablty of the system wll be consdered One basc approach to determnng stablty s to lnearze the system equatons around ts equlbrum pont Although power systems are nonlnear, ths approach s able to roughly predct the relatve lkelhood of the system to go unstable Consder the followng nonlnear dfferental/algebrac equatons of the system [5]: X & = f( X, Y) (5) 0 = g( X, Y) (6) system where X s the state vector and Y s the vector of voltage magntude/angles of the power The lnearzed equatons are of the form: Δ X& = AX + BY (7) 0 = CX + DY (8) where Δ shows the lnearzed varable around ts equlbrum pont system as: Usng equatons (7) and (8), t s possble to get the state space matrx of the lnearzed Asys A BD C = (9) The egenvalues of A sys determne the relatve stablty of the system after a fault If the egenvalues have postve real parts, then the relatve stablty of the system s poor

26 k Pshunt (pu) (a) k vs P shunt x k Pshunt (pu) (b) k 2 vs P shunt Vdc (pu) Pshunt (pu) (c) V dc vs P shunt Fg 3 Operatng Plots of the UPFC

27 0 V SIMULATIONS AND RESULTS To verfy the assumpton made n the prevous secton, we show two examples usng the IEEE 8 bus test system [6] Ths system has 20 machnes, where the order of each machne s 0, contanng the two-axs generator model, Type I Excter/AVR model and turbne and governor models As we dscussed n the above sectons, every UPFC would add 5 state varables nto the system So the order of the lnearzed power system wth one UPFC would be 205 Two dfferent UPFC placements have been consdered n the followng examples and ther results are explaned The parameters of the UPFC are: R = 00pu, X = 05pu R2 = 000pu, X 2 = 005pu Rp = 00 pu, C = 364 pu Example As the frst example, a UPFC placement between buses and 2 has been consdered wth P = 078pu, = 0353pu andv = 09528pu These are bascally the lne sc Q sc power and voltage values before the UPFC nstallaton sc (a) When P = 00pu, we get an operatng pont where: shunt k = 09626, k 2 = α = 6285rad, α 2 = 34029rad kv dc = 09533pu d = 000 pu, q d = pu 2, q2 = 0005pu = 0827 pu Wth the above condtons, all egenvalues of Asys have negatve real values To observe the transent stablty of the system, a fault s appled to bus 30 at s and s cleared after 0 s Fgs 4-7 show the behavor of the system wth and wthout PI controllers Four smple PI controllers have been appled to control the seres actve power, seres reactve power and voltages of the dc and ac buses of the UPFC [4] The controller parameters are shown n Table I

28 TABLE I PI Controller Parameters for Examples and 2 Seres Controller k P k I Actve Power e-3 e-3 Reactve Power e-3 e-3 Shunt Controller k P k I dc voltage 5e-2 5e-2 ac voltage 5e-3 5e-3 Fgs 4a and 4b show the seres nected power ( P seres ) of the UPFC before and after the fault for the uncontrolled and controlled cases, respectvely Fgs 5, 6 and 7 depct the varatons of the seres nected reactve power ( Q ), kv and ac voltage of the UPFC ( V ) for the uncontrolled and controlled cases In ths example, t s obvous that the system s stable and easly controlled seres dc (a) Pseres (pu) Tme (S) (b) Pseres (pu) Tme (S) Fg 4 UPFC Inected Seres Actve Power n Example a (wthout control top, wth control bottom)

29 2 0 (a) -0 Qseres (pu) Tme (S) 0 (b) -0 Qseres (pu) Tme (S) Fg 5 UPFC Inected Seres Reactve Power n Example a (wthout control top, wth control bottom) 05 (a) kvdc (pu) Tme (S) 05 (b) kvdc (pu) Tme (S) Fg 6 ac voltage of the shunt converter of the UPFC n Example a (wthout control top, wth control bottom) (a) V (pu) Tme (S) 098 (b) 096 V (pu) Tme (S) Fg 7 ac bus voltage of the UPFC n Example a (wthout control top, wth control bottom)

30 3 (b) Next, an alternate operatng pont s chosen wth the same values of Psc, QscandV sc, but where P = 06 pu Note that for the power necton model, these two operatng ponts are shunt dentcal because they have the same seres actve and reactve power and bus voltage For ths stuaton, two complex conugate egenvalues have postve real parts, thus ths operatng pont s locally unstable From the partcpaton factors, t s determned that these unstable egenvalues are assocated mostly wth the angular frequency of the generators connected to buses 00 and 2 Ths means that the UPFC tself s not contrbutng drectly to the nstablty The control parameters of the UPFC at ths pont are: k = 0287 k 2 = α = 6842rad α 2 = 6396rad kv dc = 0989pu d = 0664pu q = 0577 pu d2 = pu q2 = 0853pu The same fault s appled to the system as n the prevous example The same PI controller s used to stablze the system As can be seen n Fgs 8-, the controlled network becomes unstable rapdly Ths shows how mportant the choce of ntal operatng condton s to the controllablty and stablty of the system, regardless of the choce of ntal seres actve and reactve power flows and system bus voltage 0 (a) Pseres (pu) Tme (S) (b) 4 Pseres (pu) Tme (S) Fg 8 UPFC Inected Seres Actve Power n Example b (wthout control top, wth control bottom)

31 4-005 (a) Qseres (pu) Tme (S) (b) 4 Qseres (pu) Tme (S) Fg 9 UPFC Inected Seres Reactve Power n Example b (wthout control top, wth control bottom) 05 (a) kvdc (pu) Tme (S) (b) 2 kvdc (pu) Tme (S) Fg 0 ac voltage of the shunt converter of the UPFC n Example b (wthout control top, wth control bottom)

32 5 (a) V (pu) Tme (S) (b) 5 V (pu) Tme (S) Fg ac bus voltage of the UPFC n Example b (wthout control top, wth control bottom) Example 2 In the second example, a UPFC placement s changed and t s now placed between buses 02 and 0 n the 8 bus network The ntal necton model settngs are P = pu, Qsc = 0063pu, and V = pu These are bascally the lne power and voltage values before UPFC nstallaton sc sc (a) When P = 00pu, the ntal parameters are: shunt k = 008 k 2 = α = 6286rad α 2 = 737rad kv dc = pu d = 0003pu = 8934e 4 pu q d2 = 043pu q2 = pu Wth the above condtons, all egenvalues of A sys have negatve real parts Smlar to example, a fault s appled to bus 30 of the network at s and cleared after 0 s Fgs 2-5 show the behavor of the system wth and wthout PI controllers In fgures denoted by (a), no control has been appled untl 425 s On the other hand, n the fgures dstngushed by (b), the PI controller has been appled from the very begnnng The same control parameters as n Table I have been

33 6 used n ths example As t mght be vewed n Fgs 4a and 5a, after about 425 s, the PI controllers do a good ob for stablzng the system 08 (a) Pseres (pu) Pseres (pu) Tme (S) (b) Tme (S) Fg 2 UPFC Inected Seres Actve Power n Example 2a (wthout control untl 425s top, wth control bottom) 0 (a) Qseres (pu) Qseres (pu) Tme (S) (b) Tme (S) Fg 3 UPFC Inected Seres Reactve Power n Example 2a (wthout control untl 425 top, wth control bottom)

34 7 (a) kvdc (pu) Tme (S) (b) kvdc (pu) Tme (S) Fg 4 ac voltage of the shunt converter of the UPFC n Example 2a (wthout control untl 425 top, wth control bottom) 04 (a) V02 (pu) V02 (pu) Tme (S) (b) Tme (S) Fg 5 ac bus voltage of the UPFC n Example 2a (wthout control untl 425 top, wth control bottom) (b) Next, an alternate operatng pont s chosen wth the same values of Psc, Qscand V sc where P = 07 pu For ths stuaton, two complex conugate egenvalues have postve real shunt parts, thus ths operatng pont s locally unstable From the partcpaton factors, t s determned that these unstable egenvalues are assocated mostly wth the angular frequency of the generators connected to buses 40 and 2 Here agan we conclude that the power system nter-area modes

35 8 are correspondng to unstable equlbrum ponts and not the UPFC modes The operatng condtons of the UPFC n these stuatons are: k = 026 k 2 = 0005 α = 6752rad α 2 = 6288rad kv dc = 00 pu d = pu q = 039 pu d2 = 0458pu q2 = 0068pu The control s appled at 28s As t s seen n Fgs 6a, 7a, 8a and 9a, the controller s not able to stablze the system Actually the control acton makes the stuaton worse However, n Fgs 6b, 7b, 8b and 9b t s seen that when the controllers come nto acton from the very begnnng, they could stablze the system Ths agan shows that pckng an napproprate operatng pont could lead the power system nto undesrable behavor after a fault 08 (a) Pseres (pu) Tme (S) (b) 08 Pseres (pu) Tme (S) Fg 6 UPFC Inected Seres Reactve Power n Example 2b (wthout control untl 28s top, wth control bottom)

36 9 (a) 0 Qseres (pu) Tme (S) (b) 0 Qseres (pu) Tme (S) Fg 7 UPFC Inected Seres Reactve Power n Example 2b (wthout control untl 28s top, wth control bottom) 06 (a) kvdc (pu) Tme (S) (b) 06 kvdc (pu) Tme (S) Fg 8 ac voltage of the shunt converter of the UPFC n Example 2b (wthout control untl 28s top, wth control bottom)

37 20 (a) V02 (pu) Tme (S) (b) V02 (pu) Tme (S) Fg 9 ac bus voltage of the UPFC n Example 2b (wthout control untl 28s top, wth control bottom) VI CONCLUSIONS Ths work shows that the steady-state power necton model of the UPFC s nsuffcent for transent stablty analyss In the steady-state power necton model, only the seres reactve and actve powers and the shunt bus voltage magntude are specfed Even wth these values specfed, there are many operatng states that can be acheved from the dynamc equatons Ths may lead to unstable ntal operatng condtons In addton, even f the ntal operatng condtons are stable, the stablty margn may be suffcently decreased so as to adversely affect the controllablty of the system durng transents Future work would be to apply nonlnear control theory for the evaluaton of an optmal operatng condton from the system s stablty pont of vew Other approaches such as applcaton of the energy functon methods mght also be able to explan and predct system behavor after a contngency happens to the power system REFERENCES [] Tmothy L Skvarenna, The Power Electroncs Handbook CRC Press 2002 [2] Yng Xao; Song, YH; Sun, YZ, Power Flow Control Approach to Power Systems wth Embedded FACTS devces, IEEE Transactons on Power Systems, Vol 7, No 4, Nov 2002, pp

38 2 [3] Jun-Yong Lu; Yong-Hua Song; Mehta, PA, Strateges for Handlng UPFC Constrants n Steady-State Power Flow and Voltage Control, IEEE Transactons on Power Systems, Vol 5, No 2, May 2000, pp [4] L Dong, ML Crow, Z Yang, C Shen, L Zhang, S Atctty, A Reconfgurable FACTS System for Unversty Laboratores, IEEE Transactons on Power Systems, Vol 9, No, Feb 2004, pp [5] Peter W Sauer, MA Pa, Power System Dynamcs and Stablty, Prentce Hall 998 [6]

39 22 2 The Exstence of Multple Equlbra n the UPFC Power Inecton Model M Zargham, Student Member, IEEE, M L Crow, Senor Member, IEEE ABSTRACT: Ths letter shows the exstence of multple equlbra that arse from the use of the state model of the UPFC These multple equlbra can arse from a common power necton model for the same termnal condtons of shunt bus voltage and seres actve and reactve power nectons The multple equlbra result n two or more sets of egenvalues, some of whch may ndcate an unstable operatng condton Therefore, the use of the UPFC power necton model must be used wth cauton to ensure stable operaton of the UPFC Index Terms UPFC, oscllaton dampng, power system stablty I INTRODUCTION The UPFC power necton model s wdely used for power system smulatons (recent examples nclude []-[3]) In the power necton model, the mpact of the UPFC n the network s represented by ts seres and shunt current nectons, or smlarly, ts seres and shunt actve and reactve power nectons A common approach to ncorporatng the UPFC power necton model nto the system s to represent the UPFC as two buses: a PQ bus at the recevng end n whch both actve and reactve power are specfed, and a PV bus at the sendng end n whch voltage and actve power are specfed [4] In ths letter, t wll be shown that f the power necton model s used nstead of the dynamc model for the same operatng condtons, then multple equlbra (wth possbly dfferent stablty propertes) can exst

40 Transformer 23 2 Transformer To system To system P +Q P dc P sc +Q sc va, vb, vc, Ls, Rs, e a, ea,2 dc a, e b, b, e c, c, Converter R dc C + v dc Converter e a,2 b,2 e b,2 c,2 c,2 R s,2 L s,2 v a,2 v b,2 vc,2 Fg Unfed Power Flow Controller Dagram II THE UPFC STATE MODEL The UPFC s a combnaton of the STATCOM (statc synchronous compensator) and SSSC (statc seres synchronous compensator) as shown n Fgure The seres connected nverter nects a voltage wth controllable magntude and phase angle n seres wth the transmsson lne, thereby provdng actve and reactve power to the transmsson lne The shunt-connected nverter provdes the actve power drawn by the seres branch and the losses and can ndependently provde reactve compensaton to the system The UPFC state model s: d ω s dt d = k V dc cos (α + θ )+ ω q R s d V cos θ L s ω s L s L s () d ω s dt q = k V dc sn (α + θ ) R s q ω d V sn θ L s L s ω s L s (2) d ω s dt d 2 = R s 2 d2 + ω q2 + k 2 cos (α 2 + θ ) V dc L s2 ω s L s2 (V 2 cos θ 2 V cos θ ) (3) L s2 d ω s dt q 2 = R s 2 q2 ω d2 + k 2 sn (α 2 + θ ) V dc L s2 ω s L s2 (V 2 sn θ 2 V sn θ 2 ) (4) L s2 C d ω s dt V dc = k cos (α + θ ) d k sn (α + θ ) q k 2 cos (α 2 + θ ) d2 k 2 sn (α 2 + θ ) q2 V dc R dc (5)

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

6.3.7 Example with Runga Kutta 4 th order method

6.3.7 Example with Runga Kutta 4 th order method 6.3.7 Example wth Runga Kutta 4 th order method Agan, as an example, 3 machne, 9 bus system shown n Fg. 6.4 s agan consdered. Intally, the dampng of the generators are neglected (.e. d = 0 for = 1, 2,

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

( ) = ( ) + ( 0) ) ( )

( ) = ( ) + ( 0) ) ( ) EETOMAGNETI OMPATIBIITY HANDBOOK 1 hapter 9: Transent Behavor n the Tme Doman 9.1 Desgn a crcut usng reasonable values for the components that s capable of provdng a tme delay of 100 ms to a dgtal sgnal.

More information

Introduction. - The Second Lyapunov Method. - The First Lyapunov Method

Introduction. - The Second Lyapunov Method. - The First Lyapunov Method Stablty Analyss A. Khak Sedgh Control Systems Group Faculty of Electrcal and Computer Engneerng K. N. Toos Unversty of Technology February 2009 1 Introducton Stablty s the most promnent characterstc of

More information

Fundamental loop-current method using virtual voltage sources technique for special cases

Fundamental loop-current method using virtual voltage sources technique for special cases Fundamental loop-current method usng vrtual voltage sources technque for specal cases George E. Chatzaraks, 1 Marna D. Tortorel 1 and Anastasos D. Tzolas 1 Electrcal and Electroncs Engneerng Departments,

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS. Dr. Derald E. Wentzien, Wesley College, (302) ,

A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS. Dr. Derald E. Wentzien, Wesley College, (302) , A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS Dr. Derald E. Wentzen, Wesley College, (302) 736-2574, wentzde@wesley.edu ABSTRACT A lnear programmng model s developed and used to compare

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Experience with Automatic Generation Control (AGC) Dynamic Simulation in PSS E

Experience with Automatic Generation Control (AGC) Dynamic Simulation in PSS E Semens Industry, Inc. Power Technology Issue 113 Experence wth Automatc Generaton Control (AGC) Dynamc Smulaton n PSS E Lu Wang, Ph.D. Staff Software Engneer lu_wang@semens.com Dngguo Chen, Ph.D. Staff

More information

Nonlinear Control of UPFC in Power System for Damping Inter Area Oscillations

Nonlinear Control of UPFC in Power System for Damping Inter Area Oscillations Internatonal Journal of Modern Engneerng Research (IJMER) www.jmer.com Vol.2, Issue.6, Nov-Dec. 2012 pp-4266-4272 ISSN: 2249-6645 Nonlnear Control of UPFC n Power System for Dampng Inter Area Oscllatons

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

1 Derivation of Point-to-Plane Minimization

1 Derivation of Point-to-Plane Minimization 1 Dervaton of Pont-to-Plane Mnmzaton Consder the Chen-Medon (pont-to-plane) framework for ICP. Assume we have a collecton of ponts (p, q ) wth normals n. We want to determne the optmal rotaton and translaton

More information

Design and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm

Design and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:

More information

PARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY

PARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY POZNAN UNIVE RSITY OF TE CHNOLOGY ACADE MIC JOURNALS No 86 Electrcal Engneerng 6 Volodymyr KONOVAL* Roman PRYTULA** PARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY Ths paper provdes a

More information

ELE B7 Power Systems Engineering. Power Flow- Introduction

ELE B7 Power Systems Engineering. Power Flow- Introduction ELE B7 Power Systems Engneerng Power Flow- Introducton Introducton to Load Flow Analyss The power flow s the backbone of the power system operaton, analyss and desgn. It s necessary for plannng, operaton,

More information

Operating conditions of a mine fan under conditions of variable resistance

Operating conditions of a mine fan under conditions of variable resistance Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety

More information

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department

More information

ECEN 667 Power System Stability Lecture 21: Modal Analysis

ECEN 667 Power System Stability Lecture 21: Modal Analysis ECEN 667 Power System Stablty Lecture 21: Modal Analyss Prof. Tom Overbye Dept. of Electrcal and Computer Engneerng Texas A&M Unversty, overbye@tamu.edu 1 Announcements Read Chapter 8 Homework 7 s posted;

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

More information

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

Second Order Analysis

Second Order Analysis Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Parameter Estimation for Dynamic System using Unscented Kalman filter

Parameter Estimation for Dynamic System using Unscented Kalman filter Parameter Estmaton for Dynamc System usng Unscented Kalman flter Jhoon Seung 1,a, Amr Atya F. 2,b, Alexander G.Parlos 3,c, and Klto Chong 1,4,d* 1 Dvson of Electroncs Engneerng, Chonbuk Natonal Unversty,

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments

More information

A single-plane rotating imbalance experiment

A single-plane rotating imbalance experiment A sngle-plane rotatng mbalance experment T. W. NG, Bachelor of Technology Programme, Faculty of Engneerng, Natonal Unversty of Sngapore, 10 Kent Rdge Crescent, Sngapore 119260. engngtw@nus.edu.sg Receved

More information

Important Instructions to the Examiners:

Important Instructions to the Examiners: Summer 0 Examnaton Subject & Code: asc Maths (70) Model Answer Page No: / Important Instructons to the Examners: ) The Answers should be examned by key words and not as word-to-word as gven n the model

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Modeling of Dynamic Systems

Modeling of Dynamic Systems Modelng of Dynamc Systems Ref: Control System Engneerng Norman Nse : Chapters & 3 Chapter objectves : Revew the Laplace transform Learn how to fnd a mathematcal model, called a transfer functon Learn how

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

More information

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

Uncertainty and auto-correlation in. Measurement

Uncertainty and auto-correlation in. Measurement Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

AGC Introduction

AGC Introduction . Introducton AGC 3 The prmary controller response to a load/generaton mbalance results n generaton adjustment so as to mantan load/generaton balance. However, due to droop, t also results n a non-zero

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 31 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 6. Rdge regresson The OLSE s the best lnear unbased

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Dynamic Modeling and Control of Multi-Machine Power System with FACTS Devices for Stability Enhancement

Dynamic Modeling and Control of Multi-Machine Power System with FACTS Devices for Stability Enhancement Dynamc Modelng and Control of Mult-Machne Power System wth FACTS Devces for Stablty Enhancement A thess submtted n partal fulfllment of the requrements for the degree of Doctor of Phlosophy n Electrcal

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

Hierarchical State Estimation Using Phasor Measurement Units

Hierarchical State Estimation Using Phasor Measurement Units Herarchcal State Estmaton Usng Phasor Measurement Unts Al Abur Northeastern Unversty Benny Zhao (CA-ISO) and Yeo-Jun Yoon (KPX) IEEE PES GM, Calgary, Canada State Estmaton Workng Group Meetng July 28,

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

1 GSW Iterative Techniques for y = Ax

1 GSW Iterative Techniques for y = Ax 1 for y = A I m gong to cheat here. here are a lot of teratve technques that can be used to solve the general case of a set of smultaneous equatons (wrtten n the matr form as y = A), but ths chapter sn

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

Negative Binomial Regression

Negative Binomial Regression STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Electrical Circuits 2.1 INTRODUCTION CHAPTER

Electrical Circuits 2.1 INTRODUCTION CHAPTER CHAPTE Electrcal Crcuts. INTODUCTION In ths chapter, we brefly revew the three types of basc passve electrcal elements: resstor, nductor and capactor. esstance Elements: Ohm s Law: The voltage drop across

More information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

Clock-Gating and Its Application to Low Power Design of Sequential Circuits

Clock-Gating and Its Application to Low Power Design of Sequential Circuits Clock-Gatng and Its Applcaton to Low Power Desgn of Sequental Crcuts ng WU Department of Electrcal Engneerng-Systems, Unversty of Southern Calforna Los Angeles, CA 989, USA, Phone: (23)74-448 Massoud PEDRAM

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

Discussion of Extensions of the Gauss-Markov Theorem to the Case of Stochastic Regression Coefficients Ed Stanek

Discussion of Extensions of the Gauss-Markov Theorem to the Case of Stochastic Regression Coefficients Ed Stanek Dscusson of Extensons of the Gauss-arkov Theorem to the Case of Stochastc Regresson Coeffcents Ed Stanek Introducton Pfeffermann (984 dscusses extensons to the Gauss-arkov Theorem n settngs where regresson

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

On the Multicriteria Integer Network Flow Problem

On the Multicriteria Integer Network Flow Problem BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force. The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,

More information

Appendix B: Resampling Algorithms

Appendix B: Resampling Algorithms 407 Appendx B: Resamplng Algorthms A common problem of all partcle flters s the degeneracy of weghts, whch conssts of the unbounded ncrease of the varance of the mportance weghts ω [ ] of the partcles

More information

Markov Chain Monte Carlo Lecture 6

Markov Chain Monte Carlo Lecture 6 where (x 1,..., x N ) X N, N s called the populaton sze, f(x) f (x) for at least one {1, 2,..., N}, and those dfferent from f(x) are called the tral dstrbutons n terms of mportance samplng. Dfferent ways

More information

Term Project - select journal paper and outline. Completed analysis due end

Term Project - select journal paper and outline. Completed analysis due end EE 5200 - Lecture 30 Fr ov 4, 2016 Topcs for Today: Announcements Term Project - select journal paper and outlne. Completed analyss due end of Week 12. Submt va e-mal as mn-lecture.ppt wth voce narraton.

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal

More information

A Modified Approach for Continuation Power Flow

A Modified Approach for Continuation Power Flow 212, TextRoad Publcaton ISSN 29-434 Journal of Basc and Appled Scentfc Research www.textroad.com A Modfed Approach for Contnuaton Power Flow M. Beragh*, A.Rab*, S. Mobaeen*, H. Ghorban* *Department of

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Analysis of inter-area mode oscillations using a PSS for Variable Speed Wind Power Converter and Modal decomposition.

Analysis of inter-area mode oscillations using a PSS for Variable Speed Wind Power Converter and Modal decomposition. Analyss of nter-area mode oscllatons usng a PSS for Varable Speed Wnd Power Converter and Modal decomposton. C. GALLARDO and P. LEDESMA Electrcal Engneerng department Carlos III Unversty of Madrd Butarque

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information

MAE140 - Linear Circuits - Fall 13 Midterm, October 31

MAE140 - Linear Circuits - Fall 13 Midterm, October 31 Instructons ME140 - Lnear Crcuts - Fall 13 Mdterm, October 31 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

Chapter 6. Supplemental Text Material

Chapter 6. Supplemental Text Material Chapter 6. Supplemental Text Materal S6-. actor Effect Estmates are Least Squares Estmates We have gven heurstc or ntutve explanatons of how the estmates of the factor effects are obtaned n the textboo.

More information