Unbalanced Radial Distribution System Load Flow and Voltage Profile Enhancement in the presence of Distributed Generators

Size: px
Start display at page:

Download "Unbalanced Radial Distribution System Load Flow and Voltage Profile Enhancement in the presence of Distributed Generators"

Transcription

1 Ubalaced Radial Distributio System Load Flow ad Voltage Profile Ehacemet i the presece of Distributed Geerators 1 Isha Gupta, Vivek Gupta Departmet of Electrical Egieerig, Natioal Istitute of Techology, Waragal Abstract This paper presets the sitig ad sizig of Distributed Geerators (DGs) i a three-phase ubalaced radial distributio system. This method exploits the radial structure of the etwork ad solves the distributio load flow. Mutual couplig betwee the phases has bee icluded i the mathematical model. The cocept of fidig the bus with maximum deviatio from stadard voltage profile is used to site a DG with suitable size i order to maitai the voltage profile of system as close as possible to stadard voltages i.e 1p.u. Forward/Backward sweep method is used for the load flow studies. The proposed method is tested o a practical ubalaced three phase distributio feeder emaatig from Pathardhi 132/11KV Grid substatio i Idia ad the results are preseted i agreemets with the literature ad show that the proposed methodology is valid ad reliable. Keywords ubalaced distributio load flow, radial etwork, voltage profile, optimal placemet, distributed geeratio, Idia bus system. I. INTRODUCTION with the advet i techology ad emergig treds i the area of power geeratio, reewable sources are gaiig more popularity. As we all kow that the reewable techology is more eco-friedly ad cost effective, hece we are tryig to haress these sources locally through wid turbies, PV modules, DG sets etc.[1]. By icorporatig DG techology i our distributio system we ca achieve reductio i system losses, improvemet i voltage profile, system reliability etc. A Electrical system cosists of two parts- i. Power system ii. Distributio system. Power system is cosidered to be balaced while Distributio system is ubalaced i ature. Power system is highly mesh coected ad distributio system is highly radial i ature. Due to radial ature, there is cosecutive icrease i voltage drop from source bus to ed buses. Voltage collapse usually occurs i heavily loaded systems that do ot have sufficiet local reactive power support ad cosequetly caot provide secure voltage profile for the system. This reactive power shortage may lead to wide-area blackouts ad voltage-stability problems as has occurred i may coutries[2]. The shortage ca be alleviated by a icreased share of DGs i low-voltage (LV) distributio systems to improve voltage stability. For aalysis of system we carry out load flow studies. Load flow studies are used to study the electrical power trasfer from geerators to cosumers through the grid system[3]. The mai objective of the load flow aalysis is to fid out the power flow i each lie alog with the voltage at each bus of the system for the specific loadig coditios. Chiag [4] has preseted a distributio load flow method by iterative solutio of three fudametal equatios represetig real power, reactive power ad voltage magitude. Das, et al. [5]have proposed a load flow method by writig a algebraic equatio for bus voltage magitude. Distributio system with their radial structure ad wide ragig resistace ad reactace values are iheretly ill-coditioed, hece the covetioal load flow methods like Gauss-Seidel, Newto-Raphso ad fast decoupled techiques are iefficiet i solvig such etworks. For this reaso we go for other techiques of distributio load flow. The load flow methods proposed for distributio systems cosiderig the ubalace operatio ca be grouped ito two basic categories. The first category is Forward Backward Sweep (FBS) / Ladder Network based methods, Loop Impedace Method ad Implicit Zbus Gauss method or its modified versios[6]. The secod category is composed of methods which require iformatio o the derivatives of the etwork equatios. Newto like methods ivolvig formatio of Jacobia ad computatio of power mismatches at the ed of the feeder ad laterals ad other fast decoupled methods. Here i this paper we have opted Forward/Backward approach for the load flow studies. II. UNBALANCED THREE-PHASE LINE Fig.1 shows a typical sectio of the distributio system betwee bus i ad j. The lie parameters ca be obtaied by the method developed by Carso ad Lewis[7]. A 4x4 matrix, which takes ito accout the self ad mutual couplig effects of the ubalaced three phase lie sectio, ca be expressed as: 1565

2 c= Zaa Zba Zca Za Zcb Zb Zac Zcc Zc Za Zb Zc Z. (1) This equatio ca be reduced to 3x3 matrix, by applyig Kro s reductio[8], still cosiderig effects of eutral ad groud wire as show i (2). c= Zaa Zba Zca Zcb Ila Zac Zcc. (2) B. Costraits: For proper system operatio certai costraits must be satisfied. These costraits are as follows: 1) Active ad reactive power equality: Total geerated power must be equal to the power demad give as (5), (6) i1 i1 P P P 0 (5) Gi DG i1 Di Q Q 0 (6) Gi i1 Di WhereP Gi, Q Gi are active ad reactive power geerated at bus i, P Di, Q Di are active ad reactive loads at bus i, P DG is active power ijected by DG. a Va Ilb Zaa a Va Zac 2) Distributio Lie Capacity Limits: Power flow of lies should be less tha the allowed flow costraied by its thermal limit. b Vb c Vc Ilc Zcc Fig.1. Typical Three Phase Feeder b Vb c Vc Now, the receivig ed voltages ca be liked with the sedig ed voltages of the feeder show i Fig.1 as below: Va Vb Vc = Va' Vb' Vc' + Zaa Zba Zca Zcb Zac Zcc Ia Ib Ic. (3) The same approach will be used for two phase system as well as sigle phase system. I a two phase system the phase which is ot coected will have the correspodig Impedace matrix s row ad colum zero. III. PROBLEM FORMULATION I this paper we are determiig the optimal locatio ad size of the DGs such that voltage profile is improved which further reduces the system losses. A. Objective Fuctio: The objective fuctio aims at miimizig the Bus Voltage Deviatio Idex (BVDI). F i) mi( BVDI ) (4) ( i BVDI is the average voltage deviatio of all the three phases calculated at each bus. S( i, j) S( i, j (7) ) max Where S(i,j) is MVA flow i the lie coectig bus i ad j, S(i,j) max is MVA capacity of lie coectig i ad j. 3) Voltage Drop limits: Bus voltages should be i the rage of miimum ad maximum voltage. V V (8) mi V max Where V mi ad V max are miimum ad maximum allowable voltage at buses. IV. SOLUTION METHODOLOGY These days, most DG techologies, such as sychroous machies, power-electroic iterface devices (e.g., photovoltaic cells ad micro turbies), ad eve ew iductio geerators [e.g., doubly fed iductio geerators (DFIGs)], are capable of providig a fast, dyamic reactive power respose[9]. This capability ca be used by the system operators to ehace system security ad stability. Sice a geerator locatio affects the system voltage stability, fidig the best positio for its istallatio becomes ievitable, as improper placemet may further deteriorate the system performace. To idetifyig the most effective bus for DG istallatio followig procedure is followed: A. DG uit positioig algorithm: Calculate the average voltage of all buses i each phase. 1 Vavg( m) V ( i, m) (9) i1 Where is umber of buses i the system, m is the phase umber. 1566

3 Calculate the deviatio of each bus voltage from Vavg for all phases. VD( m, i) V( m, i 1) Vavg( m) (10) Where m=1 to 3 ad i=1, 2, Now, calculate bus voltage deviatio idex BVDI which is the average of Voltage deviatio of all the three phases. Compute the brach currets startig from ed odes usig (15). Use the (13) to calculate the updated bus voltagev iter +1. Compare the preset value of the voltage with that of the previous iteratio, if coverge, go to ext step, otherwise iter=iter+1 ad go to step-5. Calculate losses after the coverged voltages are obtaied usig (16). 3 1 BVDI ( i) VD( m, i) i=1, 2,.-1. (11) 3 m1 Now determie the order with the least value of BVDI, i. The bus ext to i is cosidered as the best locatio for DG placemet of proper size give as DGpos. DGpos i 1 (12) B. Forward/Backward Sweep Load Flow: The distributio system is very much differet from the trasmissio system as it is more of radial system with low X/R ratio. Thus the covetioal load flows like N.R, Gauss Siedel [10][11]etc. fails to coverge or are ot reliable. Hece i this paper forward backward (FB) sweep load flow is used [12] to compute load flow. Vabc Vabc c Iabc '. (13) Ii ( Pi Qi) Vi * i=2, 3, (14) The FB sweep cosiders the complex load at each bus to be costat. The load is the coverted ito equivalet curret ijectio at each bus usig equatio 14. The FB sweep method takes two steps i each iteratio[13]. The first step is called backward sweep wherei startig from the last bus we calculate the brach curret till the first bus, give by (14)]. Now the secod step is called forward sweep wherei startig from the first bus, voltage is calculated for all the buses usig equatio (13). Il j =Curret of j th brach= Il i (15) Where i=all subsequet buses to 'j' C. Algorithm for Load Flow: Usig the above equatio (13), (14) ad (15) we develop the load flow algorithm for three phase radial distributio system: Iput the data about the distributio system. Assume the iitial voltage magitude at all buses to be 1p.u ad voltage phase to be 0,-120 ad 120 for phase-a, b ad c respectively. Costruct the Z-bus matrix of the system as per the give data cosiderig mutual iductaces[15]. Set iter=1. Calculate load curret at each bus usig (14). * * Sloss ( Vp * Ilpq ) ( Vq * Ilpq ) (16) Where Vp is the sedig ed voltage ad Vq is the receivig ed voltage ad Ilpq is the curret flowig i the respective lie. Ploss real(sloss) (17) Qloss imag.(sloss) (18) D. DG uit size allocatio algorithm: For DG sizig, first we will fix the maximum limit of DGs based o the umber of DGs k we wat istall. P DG 100/ k max. (19) The maximum size of DG cosidered ca be up to P DGmax. The equivalet aggregated load is calculated as follows: Pload Qload i1 i1 Pi Qi (20) (21) Where Pload is the equivalet active power compoet of the aggregated load; Pi is the active power compoet of the load at bus umber i; Qload is the equivalet reactive power compoet of the aggregated load; Qi is the reactive power compoet of the load at bus umber i; ad is the total umber of buses. To determie the size of DG to be applied at DGpos obtaied from (12) certai steps are followed: 1. At the obtaied DGpos we will apply geeratio i steps of 1% of Total load to the P DGmax ad calculate the voltages at each bus. 2. Check for the violatio of ay costrait. 3. If YES the STOP at this geeratio. If No the retur to step DG geeratio, for which the violatio occurs, is stored ad the geeratio previous to it is cosidered as the optimal size. 5. This is the optimal size of DG geeratio, to be applied at DGpos for improvig the voltage profile at each bus. 1567

4 Bus No. TABLE I BASE CASE LOAD FLOW RESULTS Phase A Phase B Phase C Mag. Agle Mag. Agle Mag. Agle Start Read System Data Calculate Vdev=Vavg-V i each phase Read the o of Dg user wat to istall N DG Max sigle DG ca geerate=100/n DG No Ru Load Flow Calculate Vavg of each phase a,b & c. Calculate mea of Vdev amog three phase at each bus Fid the bus with miimum deviatio. Dgbus=bus+1 Apply DG at this Dgbus ad icrease the geeratio i steps startig with jj=1 If (size<n DG ) Yes TABLE II OPTIMIZATION RESULTS Pge(Dgbus)=Pload(Dgbus)-0.01*size*Pload Phase W/o DG With Oe DG With Two DG Ploss (KW) Qloss (KVar) Ploss (KW) Qloss (KVar) Ploss (KW) Qloss (KVar) If size==50 Ru Load flow ad check Voltages at each bus i each phase size=size+1 A B C Yes Calculate losses ad store the size of this first Dg size=1 ad re-ru same process for ext Dgbus No If(V>Vmax) Yes Calculate losses ad store the size of Dg from previous iteratio No Prit the Voltages, size of size of Dg Pge(Dgbus)=Pload+(Dgbus- 0.01*size*Pload) Stop Fig.2. Flowchart for optimal DG placemet. 1568

5 Fig.3 Voltage profile before DG placemet Fig.4 Voltage profile with sigle DG placed. Fig.5 Voltage profile with two DGs placed. V. RESULTS AND DISCUSSION The proposed algorithm is tested o practical ubalaced three phase distributio feeder emaatig from Pathardhi 132/11KV Grid substatio i Idia. Usig the proposed algorithm, followig optimum DG locatios ad sizes have bee calculated. Fig.5 shows the effectiveess of the proposed algorithm o system performace i compariso with base case (without DG) i Fig.3. The optimum DG size ad positio whe oly oe DG is placed are foud to 1569

6 be 56% of total load with DG placed at 19 th bus. Whe two DGs are placed first DG size is iferred to be 50% of total load placed at 19 th bus ad the secod DG size is iferred to be 19% of remaiig load placed at 17 th bus. The base case voltages of each phase for the give loadig are show i Table I. From the figures we ca see that DGs had improved the voltage profile to great extet. Thus reducig the system losses without exceedig the lie limits. From Table I we see that the miimum voltage i the absece of ay DG was p.u. at 19 th bus for phase B while as give i Table V, we ca see with two DGs optimally placed the miimum system voltage has rise to p.u at 13 th bus for phase B. TABLE III LOAD DATA Pload(KW) Qload(KVar) Phase A Phase B Phase C VI FUTURE SCOPE This method is presetly tested o practical ubalaced three phase distributio feeder emaatig from Pathardhi 132/11KV Grid substatio i Idia, which ca further be exteded to eve larger bus system preset i literature. Here, DGs are cosidered to geerate oly active power however it ca be exteded to DGs operatig at differet power factors. The loads are cosidered to be costat which ca be exteded to time varyig loads. We have cosidered BVDI as our objective for sitig the locatio which ca be exteded to multi-objective optimizatio. TABLE IV DISTRIBUTED GENERATION INPUT Oe DG Two DG Locatio 19 th 19 th 17 th Phase A KW KW Phase B KW KW Phase C KW KW VII. CONCLUSION I this paper ew Bus voltage deviatio algorithm has bee proposed for optimal placemet A systematic simple approach to allocate multiple DG uits i radial ubalaced distributio etwork is proposed, based o voltage deviatio idex a straightforward algorithm for sizig ad locatig multiple DG uits is developed[16]. The proposed techique is applied to radial test systems. Results show that istallig the decided DG uits achieves great reductio i power loss ad keep ode voltages betwee Vmi ad Vmax. This method is easy to implemet ad the results obtaied are foud to be good, as the optimal locatios ad size of DGs have improved the voltage profile as ca be see by graphs ad the system losses are also. Bus No. TABLE V FINAL VOLTAGE PROFILE AFTER PLACEMENT OF TWO DG Phase A Phase B Phase C Mag. Agle Mag. Agle Mag. Agle VIII. REFERENCES [1] M. Esmaili, Placemet of miimum distributed geeratio uits observig power losses ad voltage stability with etwork costraits, vol. 7, o. October 2012, pp , [2] M. Ettehadi, H. Ghasemi, ad S. Vaez-Zadeh, Voltage stability-based DG placemet i distributio etworks, IEEE Tras. Power Deliv., vol. 28, o. 1, pp , [3] S. Kaur, A. Sigh, ad R. S. Khela, Load Flow Aalysis of IEEE-3 bus system by usig Mipower Software, vol. 4, o. 03, pp. 9 16, [4] S. Ghosh ad D. Das, Method for load-flow solutio of radial distributio etworks, IEE Proc. - Geer. Trasm. Distrib., vol. 146, o. 6, p. 641, [5] K. Prakash ad M. Sydulu, Topological ad primitive impedace based load flow method for radial ad weakly meshed distributio systems, Ira. J. Electr. Comput. Eg., vol. 10, o. 1, pp , [6] P. Aravidhababu, A New Fast Decoupled Power Flow Method for Distributio Systems, Electr. Power Compoets Syst., vol. 31, o. 9, pp ,

7 [7] W. H. Kerstig, Dristributio System Modelig ad Aalysis [8] F. Dorfler ad F. Bullo, Kro Reductio of Graphs, pp. 1 28, [9] V. Safavi, B. Vahidi, ad M. Abedi, OPTIMAL DG PLACEMENT AND SIZING IN DISTRIBUTION NETWORK WITH, vol. 26, o. 3, pp , [10] S. Kumar Ijeti ad N. P Kumar, Optimal Plaig of Distributed Geeratio for Improved Voltage Stability ad Loss Reductio, It. J. Comput. Appl., vol. 15, o. 1, pp , [11] O. P. Mahela, S. Ram, ad O. Lalit, Optimal Capacitor Placemet for Loss Reductio i Radial Distributio Feeder, vol. 4, o. 6, pp , [12] S. Paul, A Simple Algorithm for Distributio System Load Flow with Distributed Geeratio, o. 2, [13] J. Subrahmayam, Load flow solutio of ubalaced radial distributio systems, J. Theor. Appl. If. Techol., vol. 6, o. 1, pp , [14] N. Ghosh, S. Sharma, ad S. Bhattacharjee, A Load Flow based Approach for Optimum Allocatio of Distributed Geeratio Uits i the Distributio Network for Voltage Improvemet ad Loss Miimizatio, It. J. Comput. Appl., vol. 50, o. 15, pp , [15] B. Liu ad B. Li, A geeral algorithm for buildig Z-matrix based o trasitioal matrices, 3rd It. Cof. Deregul. Restruct. Power Techol. DRPT 2008, o. April, pp , [16] T. Ramaa, V. Gaesh, ad S. Sivaagaraju, Distributed Geerator Placemet Ad Sizig i Ubalaced Radial Distributio System, Cogeer. Distrib. Geer. J., vol. 25, o. 1, pp ,

DG Installation in Distribution System for Minimum Loss

DG Installation in Distribution System for Minimum Loss DG Istallatio i Distributio System for Miimum Loss Aad K Padey Om Mishra Alat Saurabh Kumar EE, JSSATE EE, JSSATE EE, JSSATE EE, JSSATE oida,up oida,up oida,up oida,up Abstract: This paper proposes optimal

More information

NUMERICAL METHODS FOR SOLVING EQUATIONS

NUMERICAL METHODS FOR SOLVING EQUATIONS Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:

More information

Optimization Methods MIT 2.098/6.255/ Final exam

Optimization Methods MIT 2.098/6.255/ Final exam Optimizatio Methods MIT 2.098/6.255/15.093 Fial exam Date Give: December 19th, 2006 P1. [30 pts] Classify the followig statemets as true or false. All aswers must be well-justified, either through a short

More information

ELE B7 Power Systems Engineering. Symmetrical Components

ELE B7 Power Systems Engineering. Symmetrical Components ELE B7 Power Systems Egieerig Symmetrical Compoets Aalysis of Ubalaced Systems Except for the balaced three-phase fault, faults result i a ubalaced system. The most commo types of faults are sigle liegroud

More information

Computational Analysis of IEEE 57 Bus System Using N-R Method

Computational Analysis of IEEE 57 Bus System Using N-R Method Vol 4, Issue 11, November 2015 Computatioal Aalysis of IEEE 57 Bus System Usig N-R Method Pooja Sharma 1 ad Navdeep Batish 2 1 MTech Studet, Dept of EE, Sri SAI Istitute of Egieer &Techology, Pathakot,

More information

A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM

A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM *Kore B. G. Departmet Of Statistics, Balwat College, VITA - 415 311, Dist.: Sagli (M. S.). Idia *Author for Correspodece ABSTRACT I this paper I

More information

ECONOMIC OPERATION OF POWER SYSTEMS

ECONOMIC OPERATION OF POWER SYSTEMS ECOOMC OEATO OF OWE SYSTEMS TOUCTO Oe of the earliest applicatios of o-lie cetralized cotrol was to provide a cetral facility, to operate ecoomically, several geeratig plats supplyig the loads of the system.

More information

PC5215 Numerical Recipes with Applications - Review Problems

PC5215 Numerical Recipes with Applications - Review Problems PC55 Numerical Recipes with Applicatios - Review Problems Give the IEEE 754 sigle precisio bit patter (biary or he format) of the followig umbers: 0 0 05 00 0 00 Note that it has 8 bits for the epoet,

More information

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients.

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients. Defiitios ad Theorems Remember the scalar form of the liear programmig problem, Miimize, Subject to, f(x) = c i x i a 1i x i = b 1 a mi x i = b m x i 0 i = 1,2,, where x are the decisio variables. c, b,

More information

Live Line Measuring the Parameters of 220 kv Transmission Lines with Mutual Inductance in Hainan Power Grid

Live Line Measuring the Parameters of 220 kv Transmission Lines with Mutual Inductance in Hainan Power Grid Egieerig, 213, 5, 146-151 doi:1.4236/eg.213.51b27 Published Olie Jauary 213 (http://www.scirp.org/joural/eg) Live Lie Measurig the Parameters of 22 kv Trasmissio Lies with Mutual Iductace i Haia Power

More information

subject to A 1 x + A 2 y b x j 0, j = 1,,n 1 y j = 0 or 1, j = 1,,n 2

subject to A 1 x + A 2 y b x j 0, j = 1,,n 1 y j = 0 or 1, j = 1,,n 2 Additioal Brach ad Boud Algorithms 0-1 Mixed-Iteger Liear Programmig The brach ad boud algorithm described i the previous sectios ca be used to solve virtually all optimizatio problems cotaiig iteger variables,

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Academic Editor: João P. S. Catalão Received: 10 February 2016; Accepted: 6 April 2016; Published: 14 April 2016

Academic Editor: João P. S. Catalão Received: 10 February 2016; Accepted: 6 April 2016; Published: 14 April 2016 eergies Article Load Cocetratio Factor Based Aalytical Method for Optimal Placemet of Multiple Distributio Geerators for Loss Miimizatio ad Voltage Profile Improvemet Mohsi Shahzad 1, *,, Ishtiaq Ahmad

More information

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to:

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to: OBJECTIVES Chapter 1 INTRODUCTION TO INSTRUMENTATION At the ed of this chapter, studets should be able to: 1. Explai the static ad dyamic characteristics of a istrumet. 2. Calculate ad aalyze the measuremet

More information

Time-Domain Representations of LTI Systems

Time-Domain Representations of LTI Systems 2.1 Itroductio Objectives: 1. Impulse resposes of LTI systems 2. Liear costat-coefficiets differetial or differece equatios of LTI systems 3. Bloc diagram represetatios of LTI systems 4. State-variable

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 9 Multicolliearity Dr Shalabh Departmet of Mathematics ad Statistics Idia Istitute of Techology Kapur Multicolliearity diagostics A importat questio that

More information

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

ln(i G ) 26.1 Review 26.2 Statistics of multiple breakdowns M Rows HBD SBD N Atoms Time

ln(i G ) 26.1 Review 26.2 Statistics of multiple breakdowns M Rows HBD SBD N Atoms Time EE650R: Reliability Physics of Naoelectroic Devices Lecture 26: TDDB: Statistics of Multiple Breadows Date: Nov 17, 2006 ClassNotes: Jaydeep P. Kulari Review: Pradeep R. Nair 26.1 Review I the last class

More information

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row: Math 5-4 Tue Feb 4 Cotiue with sectio 36 Determiats The effective way to compute determiats for larger-sized matrices without lots of zeroes is to ot use the defiitio, but rather to use the followig facts,

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations Math Sci Lett, No, 7- ( 7 Mathematical Sciece Letters A Iteratioal Joural http://dxdoiorg/785/msl/5 Higher-order iterative methods by usig Householder's method for solvig certai oliear equatios Waseem

More information

CHAPTER 2 LOAD FLOW ANALYSIS FOR RADIAL DISTRIBUTION SYSTEM

CHAPTER 2 LOAD FLOW ANALYSIS FOR RADIAL DISTRIBUTION SYSTEM 16 CHAPTER 2 LOAD FLOW ANALYSIS FOR RADIAL DISTRIBUTION SYSTEM 2.1 INTRODUCTION Load flow analysis of power system network is used to determine the steady state solution for a given set of bus loading

More information

ROLL CUTTING PROBLEMS UNDER STOCHASTIC DEMAND

ROLL CUTTING PROBLEMS UNDER STOCHASTIC DEMAND Pacific-Asia Joural of Mathematics, Volume 5, No., Jauary-Jue 20 ROLL CUTTING PROBLEMS UNDER STOCHASTIC DEMAND SHAKEEL JAVAID, Z. H. BAKHSHI & M. M. KHALID ABSTRACT: I this paper, the roll cuttig problem

More information

ARITHMETIC PROGRESSIONS

ARITHMETIC PROGRESSIONS CHAPTER 5 ARITHMETIC PROGRESSIONS (A) Mai Cocepts ad Results A arithmetic progressio (AP) is a list of umbers i which each term is obtaied by addig a fixed umber d to the precedig term, except the first

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

THE APPEARANCE OF FIBONACCI AND LUCAS NUMBERS IN THE SIMULATION OF ELECTRICAL POWER LINES SUPPLIED BY TWO SIDES

THE APPEARANCE OF FIBONACCI AND LUCAS NUMBERS IN THE SIMULATION OF ELECTRICAL POWER LINES SUPPLIED BY TWO SIDES THE APPEARANCE OF FIBONACCI AND LUCAS NUMBERS IN THE SIMULATION OF ELECTRICAL POWER LINES SUPPLIED BY TWO SIDES Giuseppe Ferri Dipartimeto di Ihgegeria Elettrica-FacoM di Igegeria, Uiversita di L'Aquila

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science Problem Set 1 Solutions Descriptive Statistics. None at all!

ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science Problem Set 1 Solutions Descriptive Statistics. None at all! ENGI 44 Probability ad Statistics Faculty of Egieerig ad Applied Sciece Problem Set Solutios Descriptive Statistics. If, i the set of values {,, 3, 4, 5, 6, 7 } a error causes the value 5 to be replaced

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution America Joural of Theoretical ad Applied Statistics 05; 4(: 6-69 Published olie May 8, 05 (http://www.sciecepublishiggroup.com/j/ajtas doi: 0.648/j.ajtas.05040. ISSN: 6-8999 (Prit; ISSN: 6-9006 (Olie Mathematical

More information

Polynomial Functions and Their Graphs

Polynomial Functions and Their Graphs Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively

More information

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

More information

Statistical Fundamentals and Control Charts

Statistical Fundamentals and Control Charts Statistical Fudametals ad Cotrol Charts 1. Statistical Process Cotrol Basics Chace causes of variatio uavoidable causes of variatios Assigable causes of variatio large variatios related to machies, materials,

More information

An Effective Biogeography Based Optimization Algorithm to Slove Economic Load Dispatch Problem

An Effective Biogeography Based Optimization Algorithm to Slove Economic Load Dispatch Problem Joural of Computer Sciece 8 (9): 482-486, 202 ISSN 549-3636 202 Sciece Publicatios A Effective Biogeography Based Optimizatio Algorithm to Slove Ecoomic Load Dispatch Problem Vaitha, M. ad 2 K. Thaushkodi

More information

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B.

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B. Amme 3500 : System Dyamics ad Cotrol Root Locus Course Outlie Week Date Cotet Assigmet Notes Mar Itroductio 8 Mar Frequecy Domai Modellig 3 5 Mar Trasiet Performace ad the s-plae 4 Mar Block Diagrams Assig

More information

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods Itroductory lecture otes o Partial Differetial Equatios - c Athoy Peirce. Not to be copied, used, or revised without explicit writte permissio from the copyright ower. 1 Lecture 8: Solvig the Heat, Laplace

More information

Open Circuit Fault Analysis of Electrical Power System Using MATLAB

Open Circuit Fault Analysis of Electrical Power System Using MATLAB Ope Circuit Fault Aalysis of Electrical Power System Usig MATLAB Daljeet Kaur Departmet of Electrical Egieerig GZSPTU Campus, Bathida, Idia Dr. S. K. Bath Departmet of Electrical Egieerig GZSPTU Campus,

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

Reliability and Queueing

Reliability and Queueing Copyright 999 Uiversity of Califoria Reliability ad Queueig by David G. Messerschmitt Supplemetary sectio for Uderstadig Networked Applicatios: A First Course, Morga Kaufma, 999. Copyright otice: Permissio

More information

SYSTEMATIC SAMPLING FOR NON-LINEAR TREND IN MILK YIELD DATA

SYSTEMATIC SAMPLING FOR NON-LINEAR TREND IN MILK YIELD DATA Joural of Reliability ad Statistical Studies; ISS (Prit): 0974-804, (Olie):9-5666 Vol. 7, Issue (04): 57-68 SYSTEMATIC SAMPLIG FOR O-LIEAR TRED I MILK YIELD DATA Tauj Kumar Padey ad Viod Kumar Departmet

More information

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES

OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES Peter M. Maurer Why Hashig is θ(). As i biary search, hashig assumes that keys are stored i a array which is idexed by a iteger. However, hashig attempts to bypass

More information

Optimum allocation of Renewable DG sources and Synchronous capacitor simultaneously using PSO

Optimum allocation of Renewable DG sources and Synchronous capacitor simultaneously using PSO Optimum allocatio of Reewable DG sources ad Sychroous acitor simultaeously usig PSO R.Sivasagari Associate Professor, Electrical ad Electroics Egieerig, AAA College of Egieerig ad Techology, Sivakasi,

More information

ECEN 655: Advanced Channel Coding Spring Lecture 7 02/04/14. Belief propagation is exact on tree-structured factor graphs.

ECEN 655: Advanced Channel Coding Spring Lecture 7 02/04/14. Belief propagation is exact on tree-structured factor graphs. ECEN 655: Advaced Chael Codig Sprig 014 Prof. Hery Pfister Lecture 7 0/04/14 Scribe: Megke Lia 1 4-Cycles i Gallager s Esemble What we already kow: Belief propagatio is exact o tree-structured factor graphs.

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm Joural of ad Eergy Egieerig, 05, 3, 43-437 Published Olie April 05 i SciRes. http://www.scirp.org/joural/jpee http://dx.doi.org/0.436/jpee.05.34058 Study o Coal Cosumptio Curve Fittig of the Thermal Based

More information

Markov Decision Processes

Markov Decision Processes Markov Decisio Processes Defiitios; Statioary policies; Value improvemet algorithm, Policy improvemet algorithm, ad liear programmig for discouted cost ad average cost criteria. Markov Decisio Processes

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row: Math 50-004 Tue Feb 4 Cotiue with sectio 36 Determiats The effective way to compute determiats for larger-sized matrices without lots of zeroes is to ot use the defiitio, but rather to use the followig

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

Single Amplifier, Active-RC, Butterworth, and Chebyshev Filters Using Impedance Tapering

Single Amplifier, Active-RC, Butterworth, and Chebyshev Filters Using Impedance Tapering Sigle Amplifier, Active-RC, Butterworth, ad Chebyshev Filters Usig Impedace Taperig Draže Jurišić Faculty of Electrical Egieerig ad Computig, Uska 3, HR-0000, Zagreb, Croatia George S. Moschytz Swiss Federal

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t,

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t, Lecture 5 omplex Variables II (Applicatios i Physics) (See hapter i Boas) To see why complex variables are so useful cosider first the (liear) mechaics of a sigle particle described by Newto s equatio

More information

MA131 - Analysis 1. Workbook 3 Sequences II

MA131 - Analysis 1. Workbook 3 Sequences II MA3 - Aalysis Workbook 3 Sequeces II Autum 2004 Cotets 2.8 Coverget Sequeces........................ 2.9 Algebra of Limits......................... 2 2.0 Further Useful Results........................

More information

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan Mathematical ad Computatioal Applicatios, Vol. 9, No. 3, pp. 30-40, 04 DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS Muhammad Aslam Noor, Khalida Iayat Noor ad Asif Waheed

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

Mon Feb matrix inverses. Announcements: Warm-up Exercise:

Mon Feb matrix inverses. Announcements: Warm-up Exercise: Math 225-4 Week 6 otes We will ot ecessarily fiish the material from a give day's otes o that day We may also add or subtract some material as the week progresses, but these otes represet a i-depth outlie

More information

Chapter 2 Feedback Control Theory Continued

Chapter 2 Feedback Control Theory Continued Chapter Feedback Cotrol Theor Cotiued. Itroductio I the previous chapter, the respose characteristic of simple first ad secod order trasfer fuctios were studied. It was show that first order trasfer fuctio,

More information

CMOS. Dynamic Logic Circuits. Chapter 9. Digital Integrated Circuits Analysis and Design

CMOS. Dynamic Logic Circuits. Chapter 9. Digital Integrated Circuits Analysis and Design MOS Digital Itegrated ircuits Aalysis ad Desig hapter 9 Dyamic Logic ircuits 1 Itroductio Static logic circuit Output correspodig to the iput voltage after a certai time delay Preservig its output level

More information

As metioed earlier, directly forecastig o idividual product demads usually result i a far-off forecast that ot oly impairs the quality of subsequet ma

As metioed earlier, directly forecastig o idividual product demads usually result i a far-off forecast that ot oly impairs the quality of subsequet ma Semicoductor Product-mix Estimate with Dyamic Weightig Scheme Argo Che, Ziv Hsia ad Kyle Yag Graduate Istitute of Idustrial Egieerig, Natioal Taiwa Uiversity Roosevelt Rd. Sec. 4, Taipei, Taiwa, 6 ache@tu.edu.tw

More information

Optimally Sparse SVMs

Optimally Sparse SVMs A. Proof of Lemma 3. We here prove a lower boud o the umber of support vectors to achieve geeralizatio bouds of the form which we cosider. Importatly, this result holds ot oly for liear classifiers, but

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

Classification of problem & problem solving strategies. classification of time complexities (linear, logarithmic etc)

Classification of problem & problem solving strategies. classification of time complexities (linear, logarithmic etc) Classificatio of problem & problem solvig strategies classificatio of time complexities (liear, arithmic etc) Problem subdivisio Divide ad Coquer strategy. Asymptotic otatios, lower boud ad upper boud:

More information

Scheduling under Uncertainty using MILP Sensitivity Analysis

Scheduling under Uncertainty using MILP Sensitivity Analysis Schedulig uder Ucertaity usig MILP Sesitivity Aalysis M. Ierapetritou ad Zheya Jia Departmet of Chemical & Biochemical Egieerig Rutgers, the State Uiversity of New Jersey Piscataway, NJ Abstract The aim

More information

Introduction to Machine Learning DIS10

Introduction to Machine Learning DIS10 CS 189 Fall 017 Itroductio to Machie Learig DIS10 1 Fu with Lagrage Multipliers (a) Miimize the fuctio such that f (x,y) = x + y x + y = 3. Solutio: The Lagragia is: L(x,y,λ) = x + y + λ(x + y 3) Takig

More information

1 Review of Probability & Statistics

1 Review of Probability & Statistics 1 Review of Probability & Statistics a. I a group of 000 people, it has bee reported that there are: 61 smokers 670 over 5 960 people who imbibe (drik alcohol) 86 smokers who imbibe 90 imbibers over 5

More information

Section 5.5. Infinite Series: The Ratio Test

Section 5.5. Infinite Series: The Ratio Test Differece Equatios to Differetial Equatios Sectio 5.5 Ifiite Series: The Ratio Test I the last sectio we saw that we could demostrate the covergece of a series a, where a 0 for all, by showig that a approaches

More information

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) =

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) = COMPSCI 230: Discrete Mathematics for Computer Sciece April 8, 2019 Lecturer: Debmalya Paigrahi Lecture 22 Scribe: Kevi Su 1 Overview I this lecture, we begi studyig the fudametals of coutig discrete objects.

More information

IN many scientific and engineering applications, one often

IN many scientific and engineering applications, one often INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND APPLIED MATHEMATICS, VOL 3, NO, FEBRUARY 07 5 Secod Degree Refiemet Jacobi Iteratio Method for Solvig System of Liear Equatio Tesfaye Kebede Abstract Several

More information

Spectral Partitioning in the Planted Partition Model

Spectral Partitioning in the Planted Partition Model Spectral Graph Theory Lecture 21 Spectral Partitioig i the Plated Partitio Model Daiel A. Spielma November 11, 2009 21.1 Itroductio I this lecture, we will perform a crude aalysis of the performace of

More information

International Journal of Scientific & Engineering Research Volume 8, Issue 7, July-2017 ISSN

International Journal of Scientific & Engineering Research Volume 8, Issue 7, July-2017 ISSN Iteratioal Joural of Scietific & Egieerig Research Volume 8, Issue, July- ISSN 9-558 8 Estimatio of two layer soil parameters usig traditioal ad evolutioary methods Dr. Abraham George, M.S. Egieerig College,

More information

Butterworth LC Filter Designer

Butterworth LC Filter Designer Butterworth LC Filter Desiger R S = g g 4 g - V S g g 3 g R L = Fig. : LC filter used for odd-order aalysis g R S = g 4 g V S g g 3 g - R L = useful fuctios ad idetities Uits Costats Table of Cotets I.

More information

U8L1: Sec Equations of Lines in R 2

U8L1: Sec Equations of Lines in R 2 MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie

More information

THE EFFECT OF DISPERSED GENERATION UNITS WITH AND WITHOUT CAPACITOR BANKS ON THE SYSTEM LOSSES AND THE VOLTAGE REGULATION.

THE EFFECT OF DISPERSED GENERATION UNITS WITH AND WITHOUT CAPACITOR BANKS ON THE SYSTEM LOSSES AND THE VOLTAGE REGULATION. C I R E D th Iteratioal Coferece o Electricity Distributio Turi, -9 Jue 5 THE EFFECT OF DISPERSED GEERATIO UITS WITH AD WITHOUT CAPACITOR BAKS O THE SYSTEM LOSSES AD THE VOLTAGE REGULATIO. I. Basuoy* A.

More information

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018)

Randomized Algorithms I, Spring 2018, Department of Computer Science, University of Helsinki Homework 1: Solutions (Discussed January 25, 2018) Radomized Algorithms I, Sprig 08, Departmet of Computer Sciece, Uiversity of Helsiki Homework : Solutios Discussed Jauary 5, 08). Exercise.: Cosider the followig balls-ad-bi game. We start with oe black

More information

ADVANCED SOFTWARE ENGINEERING

ADVANCED SOFTWARE ENGINEERING ADVANCED SOFTWARE ENGINEERING COMP 3705 Exercise Usage-based Testig ad Reliability Versio 1.0-040406 Departmet of Computer Ssciece Sada Narayaappa, Aeliese Adrews Versio 1.1-050405 Departmet of Commuicatio

More information

Introduction to Optimization Techniques. How to Solve Equations

Introduction to Optimization Techniques. How to Solve Equations Itroductio to Optimizatio Techiques How to Solve Equatios Iterative Methods of Optimizatio Iterative methods of optimizatio Solutio of the oliear equatios resultig form a optimizatio problem is usually

More information

Algorithm of Superposition of Boolean Functions Given with Truth Vectors

Algorithm of Superposition of Boolean Functions Given with Truth Vectors IJCSI Iteratioal Joural of Computer Sciece Issues, Vol 9, Issue 4, No, July ISSN (Olie: 694-84 wwwijcsiorg 9 Algorithm of Superpositio of Boolea Fuctios Give with Truth Vectors Aatoly Plotikov, Aleader

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

Exercises Advanced Data Mining: Solutions

Exercises Advanced Data Mining: Solutions Exercises Advaced Data Miig: Solutios Exercise 1 Cosider the followig directed idepedece graph. 5 8 9 a) Give the factorizatio of P (X 1, X 2,..., X 9 ) correspodig to this idepedece graph. P (X) = 9 P

More information

Lecture 19: Convergence

Lecture 19: Convergence Lecture 19: Covergece Asymptotic approach I statistical aalysis or iferece, a key to the success of fidig a good procedure is beig able to fid some momets ad/or distributios of various statistics. I may

More information

Voltage controlled oscillator (VCO)

Voltage controlled oscillator (VCO) Voltage cotrolled oscillator (VO) Oscillatio frequecy jl Z L(V) jl[ L(V)] [L L (V)] L L (V) T VO gai / Logf Log 4 L (V) f f 4 L(V) Logf / L(V) f 4 L (V) f (V) 3 Lf 3 VO gai / (V) j V / V Bi (V) / V Bi

More information

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION NEW NEWTON-TYPE METHOD WITH k -ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION R. Thukral Padé Research Cetre, 39 Deaswood Hill, Leeds West Yorkshire, LS7 JS, ENGLAND ABSTRACT The objective

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Statistics 511 Additional Materials

Statistics 511 Additional Materials Cofidece Itervals o mu Statistics 511 Additioal Materials This topic officially moves us from probability to statistics. We begi to discuss makig ifereces about the populatio. Oe way to differetiate probability

More information

The optimal online control of the instantaneous power and the multiphase source s current

The optimal online control of the instantaneous power and the multiphase source s current BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES, Vol. 65, No. 6, 27 DOI:.55/bpasts-27-9 The optimal olie cotrol of the istataeous power ad the multiphase source s curret M. SIWCZYŃSKI ad

More information

EE692 Applied EM- FDTD Method One-Dimensional Transmission Lines Notes- Lecture 4

EE692 Applied EM- FDTD Method One-Dimensional Transmission Lines Notes- Lecture 4 ee692_fdtd_d_tras_lie_lecture4.doc Page of 6 EE692 Applied EM FDTD Method OeDimesioal Trasmissio ies Notes ecture 4 FDTD Modelig of Voltage ources ad Termiatios with Parallel/eries R oads As the fial step

More information

Optimization Methods: Linear Programming Applications Assignment Problem 1. Module 4 Lecture Notes 3. Assignment Problem

Optimization Methods: Linear Programming Applications Assignment Problem 1. Module 4 Lecture Notes 3. Assignment Problem Optimizatio Methods: Liear Programmig Applicatios Assigmet Problem Itroductio Module 4 Lecture Notes 3 Assigmet Problem I the previous lecture, we discussed about oe of the bech mark problems called trasportatio

More information

Differentiable Convex Functions

Differentiable Convex Functions Differetiable Covex Fuctios The followig picture motivates Theorem 11. f ( x) f ( x) f '( x)( x x) ˆx x 1 Theorem 11 : Let f : R R be differetiable. The, f is covex o the covex set C R if, ad oly if for

More information

The Scattering Matrix

The Scattering Matrix 2/23/7 The Scatterig Matrix 723 1/13 The Scatterig Matrix At low frequecies, we ca completely characterize a liear device or etwork usig a impedace matrix, which relates the currets ad voltages at each

More information