A Control Scheme for Utilizing Energy Storage of the Modular Multilevel Converter for Power Oscillation Damping

Size: px
Start display at page:

Download "A Control Scheme for Utilizing Energy Storage of the Modular Multilevel Converter for Power Oscillation Damping"

Transcription

1 A Control Scheme for Utilizing Energy Storage of the Moular Multilevel Converter for Power Oscillation Damping Ael A. Taffese, Elisaetta Teeschi Dept. of Electric Power Engineering Norwegian University of Science an Technology Tronheim, Norway Erik e Jong Dept. of Electrical Engineering Technische Universiteit Einhoven Einhoven, The Netherlans e.c.w.e.jong@tue.nl Astract This paper presents a control scheme that utilizes energy storage of the Moular Multilevel Converter (MMC) for Power Oscillation Damping (POD) service. Such a service is use to enhance gri staility y proviing amping power in the electromechanical (0.22Hz) ynamics range. The scheme uses compensate moulation with average energy control. The aforementione service comes at the cost of aitional energy storage requirement for the MMC. A worst case estimate of this aitional capacity, together with potential options to otain it, is also aresse in this paper. The scheme is valiate y simulation stuies on a four terminal HVDC test gri. Inex Terms Power Oscillation Damping, HVDC, Energy Storage, MMC, Moulation, Arm Capacitor, POD average arm energy of the MMC using compensate moulation as propose in [5]. It requires an increase in the energy storage capacity such that the POD service can e provie without affecting normal operation. Sizing consierations for the of aitional storage are also aresse in this paper. The remainer of this paper is organize as follows. Section II eals with the moeling approach, followe y the control structure in Section IV. Then, the propose controller is escrie in Section V. The extra energy storage requirement is treate in Section VI. Simulation results are presente in Section VII. Finally, conclusion is presente in Section VIII. I. INTRODUCTION i c Power Oscillation Damping (POD) is one of the ancillary services that can e provie y a voltage source converter in a power system. It is a service that improves amping of electromechanical oscillations (typically Hz) in an ac gri y injecting a amping power. VSCHVDC converter can achieve POD y moulating either active or reactive powers [], [2]. It was foun in [2] that active power moulation gives more roust performance regaring ac voltage variations. However, a sie effect of using active power is that the oscillation is exporte to the c sie since active power is alance instantaneously. Ref. [3] aresse this issue y coorinating the POD service etween two terminals in such a way that their contriutions cancel on the c sie. A etter alternative solution is to prevent the oscillation from entering the c sie y using solutions that involve energy storage. The challenge with such solutions is that energy storage technology is relatively expensive an not wellevelope for HVDC applications. Fortunately, the Moular Multilevel Converter (MMC), which is the most wiely accepte VSC topology, has energy storage capaility istriute in its SuMoules (SM). This paper proposes a control scheme that will make energy storage of the MMC availale for POD. Existing work on POD using MMC[4] focuses on the esign of the POD controller an not on the utilization of MMC energy storage. The propose scheme is ase on a close loop control of the v c i u v c SM N v u = n uv cu v cu = v ci v ci SM i= (Upper arm voltage) v cn SM L arm i s C c i c v c SM L arm N v cl = v cj v cj SM j= v l = n l v cl (Lower arm voltage) v cn SM i l Fig.. Perphase circuit of the MMC. v g

2 II. MODELING This section presents a simplifie average moel of the MMC. The most important assumptions mae in the evelopment of the moel are: ) compensate moulation [5] is use, 2) average energies of upper an lower arms are alance, an 3) effect of ripples in the average energy can e neglecte. First, the concept of compensate moulation will e iscusse followe y the ynamic equations escriing the MMC. A. Compensate Moulation Moulation, in this context, refers to the way the insertion inexes, n u an n l, are calculate given the respective inserte voltage references v u an v l (). v u = 2 (v c v s 2v c ) v l = 2 (v c v s 2v c ) () where v c is the c link voltage reference, v s is the ac voltage reference, an v c is common moe voltage reference. Direct moulation is the simplest moulation techniques where it is assume that the arm voltage is ripplefree an equal to the c link. Thus, the reference voltages are ivie y v c as shown in (2). n u = v u v c an n l = v l v c (2) The corresponing inserte voltages are given y (3). v u = vu v cu an v l = v v cl l (3) v c v c where v cu an v cl are the upper an lower arm voltages, respectively. Since the arm voltages contain ominant first an secon harmonic ripples, the inserte voltages will also contain harmonic components resulting in circulating currents. In orer to avoi this, the references are ivie y the respective arm voltages which cancel out from the inserte voltage as shown in (4). This is the concept ehin compensate moulation [5]. The main implication is that the harmonic content in the inserte voltages comes only from the references. This means that unesire circulating current can e avoie without the nee for an aitional controller. n u = v u v cu = v u = vu v cu = vu (4) v cu The arm voltages are neee to implement compensate moulation. It was iscusse [6] that the use of measure arm voltages is not effective ecause of measurement istortion an the loss of open sloop staility of the arm voltage. The openloop approach, which uses estimate arm voltages, has een shown to have etter staility properties [7]. The work in this paper uses compensate moulation with an improve arm voltage estimation technique which inclues a close loop control of the average energy [8]. III. DYNAMIC EQUATIONS Before the ynamic equations can e presente, some asic efinitions will e given. All equations are in perunit with the ase values given in the Appenix. The upper an lower arm voltages are ecompose into common moe, v c, an ifferential components, v s, as shown in (5). v c = 2 (v u v l ) (5) v s = ( v u v l ) (6) The same ecomposition can e applie to the upper an lower arm currents resulting in i c an i s as given y (7). i c = 2 (i u i l ) (7) i s = 3 4 (i u i l ) (8) The ifferential components correspon to the ac sie quantities. After applying this ecomposition, the ifferential equation escriing a simplifie arm energy ynamics is given in Eq. (9). t w = 2 [ c p 2 v ci c ] 6 v sq i s (9) = [ v c ci c ( v p 3 s i s vsqi ) ] sq where w is the average arm energy, c p is the perunit arm equivalent capacitance, an i c is the circulating current. vsq an i sq are the ac voltage reference an the ac current in omain, respectively. Eq. (9) shows that there will e a change in energy only when there is imalance etween the ac an c sie powers. The circulating current, i c, plays a vital role in achieving power alance. Dynamics of i c is capture y Eq. (0). t i c = ( ) vc r c i c (0) l c where l c an r c are the arm inuctance an resistance in perunit to the c ase values. The c link voltage is governe y the ifferential equation given in Eq. (). t v c = ( ) i c 3i c () c c where i c is the c line current an c c is the equivalent c sie capacitance in perunit. Finally, the ac current ynamics is given y Eq. (2) where ω is the funamental frequency in ra/s an v gq is the gri voltage in q omain. l ac an r ac are equivalent ac sie inuctance an resistance in perunit. t i sq = ( ) vsq v gq r ac I i sq ωl ac J i sq (2) l ac I = [ 0 0 ] an J = [ ] 0 0 The sign conventions an aitional variale efinitions are shown in Fig. The next section iscusses the control structure use in this paper.

3 IV. CONTROL STRUCTURE Fig. 2 epicts lock iagram of the controllers use in this paper. Only the control loops affecting active power are shown in the figure. Active power is controlle through the axis current, i s. Similarly, the average energy is controlle using the circulating current, i c. The two control loops are couple y the ac power. All the controllers in Fig. 2 are tune using moulus an symmetric optimum techniques [9]. From Fig. 2, it can e oserve that a change in ac power causes the energy to eviate. This triggers the energy controller to respon y ajusting i c which in turn affects the c power, P c. Therefore, eviations in ac power will eventually appear in the c power. If the converter is proviing POD, it has to inject oscillating power into the ac gri when the oscillation moe is excite. This oscillation will e exporte to the c sie ecause of the action of the energy controller. Since the MMC is equippe with energy storage, it can provie the oscillating power from the capacitors keeping the c sie ieally unaffecte. This is achieve y employing the auxiliary energy controller presente in the next section. V. PROPOSED AUXILIARY ENERGY CONTROLLER The main function of the auxiliary controller is to inform the energy controller (C w in Fig. 2) not to alance the oscillating part of the ac power ( P ac ) with the c power. This is achieve y removing the contriution of P ac from the energy feeack signal (W m ). In such a way, C w oes not see the oscillation an hence will not export it to the c sie. Fig. 2 shows a functional lock iagram of the auxiliary energy controller. The POD lock is responsile for calculating the oscillating power ( Pac ) injecte in to the ac gri when the electromechanical moe is excite. H an H 2 are the equivalent transfer functions from Pac to P ac an from P ac to W m, respectively. The term equivalent is use to inicate that these transfer functions represent the gain an phase responses of the complete transfer functions at the oscillation frequency in the form of gain an lealag locks. Such an implementation assumes that the system parameters are accurately known an there is only one moe of oscillation. These assumptions are mae to simplify the initial implementation. If the parameters are not accurately known, the gains an phase angles can e tune y performing tests efore the converter is commissione. The effect of parameter errors will e shown y simulation in Section VII. One important requirement for this control scheme to work is the availaility of excess store energy so that the POD oes not istur normal operation. This aspect will e iscusses in the next section. VI. ENERGY STORAGE REQUIREMENT Calculation of the extra energy storage require to implement the propose scheme will e presente in this section. First, erivation of the asic equations will e presente followe y potential options to otain the require aitional storage. Active power imalance, p, an energy eviation, w, are relate y (3). w = 2 c p p t (3) which is otaine y integrating (9). Fig. 3 shows how the power injecte y POD typically looks. The resulting energy eviation, as given y (3), is the area uner the curve. It is assume that the oscillation moe, on which the POD is applie, is stale. This implies that the area uner susequent halfcycles iminishes with time. Therefore, the worst case energy eviation is cause y the first swing which is inicate y the gray area in Fig. 3. The maximum energy eviation, w max, can e compute using (4). w max = 2 c p 2ˆp ω osc (4) where ˆp is peak value of the oscillation. Eq. (4) overestimates the eviation since it ignores the effect of amping. This is justifie ecause the amping is not constant an the intention is to consier the worst possile case which is when the amping is 0. The corresponing eviation in arm voltage, v max, can e compute, from the fact that w = v 2, using (5). w max = v max ( v max 2v) (5) where v is the nominal arm voltage. Having efine the maximum voltage eviation, the requirement for the extra energy storage can now e efine. The main constraint is that the arm voltages have to e more than the ac peak voltage (assuming sinusoial moulation) in orer to avoi overmoulation. v can e positive or negative epening on the sign of POD power injection. When v is negative, there is a risk of overmoulation. A positive v, on the other han, can result in overvoltage in the SMs. Therefore, the arm voltage shoul satisfy the constraint in (6). ˆv ac v max v V rate v max (6) where ˆv ac is the maximum ac peak voltage in pu an V rate is the sum of rate voltages of the SMs. From (6), it can e seen that the arm voltage has to e greater than.0 pu, since ˆv ac is typically close to.0 pu, in orer to provie the propose service. This can e achieve y increasing either the numer of SMs, N, or the SM voltage, V SM. The relation etween these quantities an the store energy, W in joules, is given in (7). W = C SM 2 N (N V SM) 2 (7) where C SM is the SuMoule capacitance. Increasing C SM is not consiere ecause it only helps in reucing v max ut not to increase v. The two options will e iscusse in the following sections.

4 P ac v v Dc roop PI i s PI v s l s r ac ac i s v g P ac POD P ac H Ts a K T s Auxiliary Energy Controller P ac H 2 Ts c K2 T s P acm Ts p limit w max Ts i P v i v i v i ac g s s s sq sq Ignoring arm an transformer losses W W PI i c PI v c l s r c c i c 3v c W cs P c P ac 3 p C w W m Ts w Ts i Active Power Fig. 3. Active power oscillation. Fig. 2. Auxiliary controller lock iagram. Time Parameter TABLE I HVDC CONVERTER PARAMETERS[0] Value Base apparent power, S 900 MV A Base c voltage, V c 640 kv Frequency, ω 2π50 ra/s Arm capacitance, C arm = C SM /N 29 µf Arm inuctance, L arm 84 mh Arm resistance, R arm Ω Transformer reactance, X t 7.7 Ω Transformer resistance, R t.77 Ω A. Increasing the Numer of SuMoules The effect of introucing aitional SMs will e investigate y replacing N y ( α) N in (7). Where α is a numer etween 0 an. The aitional energy ue to α, W α, is given y (8). W α = αw (8) where W is the nominal energy calculate using (7). The maximum availale POD power can e calculate y comining (8) with (4) as shown in (9). ˆP max = 2 W max ω osc α 6 [MW ] (9) where W max = W w max is the maximum energy eviation in joules. The factor 6 is inclue ecause the ac power oscillation is assume to e share equally y the 6 arms. ˆPmax is calculate for cominations of ω osc an α using the parameters in Tale I. The result is shown in Fig. 4. It can e seen that the maximum availale POD power is very limite at low frequencies. The amount of extra storage gaine is linearly proportional to α. This option can e more attractive ecause there will usually e some extra moules ae for reunancy. These moules can e utilize for the POD service. B. Increasing the Rate Voltage of SuMoules In this section an increase in SM voltage from V SM to ( β)v SM is consiere. Where β is a numer etween 0 an. By following a similar approach to the previous section, the maximum POD power can e calculate as shown in (20). A plot of ˆP max for ifferent values of β is epicte in Fig. 5. ˆP max = 2 W max ω osc (β 2 2β ) 6 [MW ] (20) It can e oserve that more POD power can e otaine y increasing β compare to α. However, this option will likely e more expensive since it requires upgrae of all SMs. The optimal solution, which is a comination of the two options, is a result of an optimization prolem which is eyon the scope of this paper. A value of β = 0.5 which is equivalent to α = 0.32 is assume for simulation in the next section. It shoul e note that the maximum POD power iscusse

5 Maximum POD Active Power [MW] α = 5% α = 0% α = 5% α = 20% Oscillation Frequency [Hz] Fig. 4. Maximum POD power as a function of oscillation frequency for ifferent values of α. Maximum POD Active Power [MW] β = 5% β = 0% β = 5% β = 20% Oscillation Frequency [Hz] Fig. 5. Maximum POD power as a function of oscillation frequency for ifferent values of β. in this section is the maximum that can e provie without isturing the c sie. The converter can still provie more POD power at the cost c sie oscillation. In such cases, output of the Auxiliary controller shoul e limite to w max efine in this section. Two options for limiting the output will e compare y simulation in the next section. VII. SIMULATION RESULTS Simulation results showing effectiveness of the propose auxiliary controller are presente in this section. The simulation moel is ase on the four terminal test gri propose in [0], (Fig. 6). The moel is implemente in SIMULINK with the parameters shown in Tale I. Effect of the POD lock is emulate y injecting oscillating power of magnitue 0.06 pu an amping of ζ 5% at t = 7 sec in to that ac gri connecte to Converter 3, (Fig. 6). Each terminal is roop controlle with a voltage roop of 5%. The cales are moele Case No. Case Case 2 Case 3 Case 4 Case 5 Case 6 Fig. 6. Test gri use for simulation [0] Description TABLE II SIMULATION TEST CASES Base case: No POD action POD action without Aux. Controller POD action Aux. Controller POD with ifferent frequencies: Hz, 2 Hz, an 5 Hz. Effect of output limiter Effect of parameter inaccuracies using the frequency epenent moel propose in []. All converters are MMCs which are moele using average arm capacitor ynamics [2]. Six test cases escrie in Tale II will e use to test the propose scheme. The results are isplaye in Figs. 7 to 3. From the ase case (Fig. 7), it can e seen that the system exhiits a stale operation uner normal conitions. All the reference signals are ratelimite y using first orer low pass filters. The ifference etween the ac an c powers in Fig. 7 is ecause of losses in the converter. With the emulate POD power injecte from converter 3 (Fig. 8), the c voltages exhiit oscillations as shown in Fig. 9a. When the auxiliary controller is enale, the POD power is iverte into the arm capacitors instea of the c sie as is evient from Fig. 8. Doing so, the controller can effectively remove the oscillation from the c sie, (Fig. 9). Because of the power taken from the capacitors, the average store energy exhiits oscillatory response, (Fig. 0a). This confirms that the oscillation is supplie from the arm capacitors instea of the c sie. The worst case eviation in energy is compute using (4) to e 0.25 while the value rea from Fig. 0a is 0.5. The ifference is ecause the effect of amping which was neglecte in (4). Fig. 0 shows impact of the POD action on the store energy of converter 2 where it is clearly visile that the converter oes not see the oscillation when the propose controller is active. In orer to investigate the correlation etween energy eviation an oscillation frequency, POD at ifferent frequencies was also simulate. Fig. a shows store energy of the POD terminal with the auxiliary controller enale. It can e clearly seen that the eviation grows with ecrease in frequency. This is inline with the iscussion in Section VI an (4). The corresponing power injections are epicte in Fig. where it can e

6 c voltages in (p.u) ac an c powers in (p.u) Converter Converter 2 Converter 3 Converter c power ac power 0.4 () c voltages in (p.u) c voltages in (p.u) Converter Converter 2 Converter 3 Converter 4 Converter Converter 2 Converter 3 Converter () Fig. 7. Base case (Case ) system performance: c voltages an () ac an c powers of converter Fig. 9. c voltages with POD: Case 2 without Aux control an () Case 3 with Aux control ac an c powers in (p.u) ac an c powers in (p.u) c power ac power c power ac power 0.4 () Arm energy in (p.u) Arm energy in (p.u) without Aux Control with Aux Control without Aux Control with Aux Control.30 () Fig. 8. ac an c powers of converter with POD: Case 2 without Aux control an () Case 3 with Aux control Fig. 0. Arm energies with (Case 2) an without (Case 3) Aux control: Converter 3 an () Converter 2

7 Arm energy in (p.u) ac power in (p.u) ω osc = 2π 2 ω osc = 2π ω osc = 2π () ω osc = 2π 2 ω osc = 2π ω osc = 2π 5 Fig.. Results at ifferent oscillation frequencies with Aux control: Arm voltages an () ac power at converter 3. Arm energy in (p.u) c voltages in (p.u) Phase Accurate 20 Phase Error.00 () Phase Accurate 20 Phase Error Fig. 3. Effect of phase angle error (Case 4, ω osc = 2π ): Arm voltages an () c voltages. Arm energy in (p.u) c voltages in (p.u) Normal Operation Simple Limiter Gain Reuction 0.99 () Normal Operation Simple Limiter Gain Reuction Fig. 2. Effect of output limiter on the Aux. controller (Case 4 ω osc = 2π ): Arm voltages an () c voltages seen that the magnitues are the same in all the cases. The auxiliary controller lock output is limite to ±0.32 pu which is equivalent to ±0.5 pu limit on the arm voltage. They are chosen to keep the arm energy aove.0 pu in all cases. Fig. 2 shows how the system respons when the energy eviation is larger than the limits. It can e seen that the simple limiter (which is a simple clamping limiter) is ale to keep the energy eviation within the specifie limits. However, the c voltage (Fig. 2) exhiits a larger magnitue istortion uring the perio when the output is limite. The secon option to limit the output is to reuce gain of the auxiliary controller which in effect reuces the amount of power iverte into the capacitors. This results in a smoother limit ut at the cost of more oscillation in the c voltage, (Fig. 2). Comining the two approaches, ynamic ajustment of the gain with simple limiter on the output can give etter results. Finally, the effect of parameter inaccuracies is stuie. Parameter errors result in either gain or phase error in the oscillation. Effect of phase angle error is epicte in Fig. 3. The effect of gain error is similar to the gain reuction case in Fig. 2. The main consequence is that some of the oscillating power is taken from the c sie resulting in c voltage oscillation, Fig. 3. This implies that scheme can work well even with significant parameters errors. Further improvement can e gaine y tuning the parameters from test results.

8 VIII. CONCLUSION This paper proposes a control scheme to minimize the impact of POD action on the c sie of an MMC converter station. This is achieve y iverting the oscillating component of the ac power into the arm capacitors. Simulation results show that the scheme is promising. The enefits come at the cost of increase energy storage requirement. The extra energy storage requirement an potential options to achieve this have een iscusse in this paper. Increasing the numer of moules or the rate voltage of each moule can e use to get the extra storage. A comination of the two shoul e use to get optimal solution. It was foun that the amount of require storage increases at low frequencies. In cases when enough storage is not availale, partial cancellation of the oscillation can e one with the help of output limiters. Output limits play a vital role in the performance of the scheme. Simple limiter an gain reuction were evaluate. Dynamic gain ajustment can give etter results. The scheme can also e extene to support multiple oscillation frequencies. APPENDIX The ase values use for perunit calculations are epicte in (2). I ac L ac = 2S 3V ac = Z ac Z ac = V ac I ac C ac = Z ac V c = 2V ac I c L c = S V c = Z c W = Cc REFERENCES ( ) V c 2 2 Z c = V c I c C c = Z c (2) [] L. Harnefors, N. Johansson, L. Zhang, an B. Berggren, Interarea oscillation amping using activepower moulation of multiterminal [8] A. A. Taffese, E. Teeschi, an E. e Jong, Arm Voltage Estimation Metho for Compensate Moulation of Moular Multilevel Converters, in 2th IEEE PES PowerTech Conference, Manchester, UK, Jun HVDC transmissions, IEEE Trans. Power Syst., vol. 29, no. 5, pp , 204. [2] L. Zeni, R. Eriksson, S. Goumalatsos, M. Altin, P. Sørensen, A. Hansen, P. Kjær, an B. Hesselæk, Power Oscillation Damping From VSC HVDC Connecte Offshore Win Power Plants, IEEE Trans. Power Deliv., vol. 3, no. 2, pp , Apr [3] M. Nreko, A. van er Meer, M. Giescu, B. Rawn, an M. van er Meijen, Damping Power System Oscillations y VSCBase HVDC Networks: A North Sea Gri Case Stuy, in Proc. WIW 203: 2th Int. Workshop LargeScale Integration of Win Power Into Power Systems as Well as on Transmission Networks for Offshore Win Power Plants, 203. [4] N. T. Trinh, I. Erlich, an S. P. Teeuwsen, Methos for utilization of MMCVSC HVDC for power oscillation amping, in 204 IEEE PES General Meeting Conference Exposition, Jul. 204, pp. 5. [5] G. Bergna Diaz, J. A. Suul, an S. D Arco, Smallsignal statespace moeling of moular multilevel converters for system staility analysis, in Energy Conversion Congress an Exposition (ECCE), 205 IEEE. IEEE, 205, pp [6] L. Ängquist, A. Haier, H. P. Nee, an H. Jiang, Openloop approach to control a Moular Multilevel Frequency Converter, in Proc. 20 4th European Conf. Power Electronics an Applications (EPE 20), Aug. 20, pp. 0. [7] A. Antonopoulos, L. Ängquist, L. Harnefors, K. Ilves, an H. P. Nee, Gloal Asymptotic Staility of Moular Multilevel Converters, IEEE Trans. In. Electron., vol. 6, no. 2, pp , Fe [9] J. W. Umlan an M. Safiuin, Magnitue an symmetric optimum criterion for the esign of linear control systems: What is it an how oes it compare with the others? IEEE Trans. In. Appl., vol. 26, no. 3, pp , May 990. [0] W. Leterme, N. Ahme, J. Beerten, L. Angquist, D. V. Hertem, an S. Norrga, A new HVDC gri test system for HVDC gri ynamics an protection stuies in EMTtype software, in th IET International Conference on AC an DC Power Transmission, Fe. 205, pp. 7. [] J. Beerten, S. D Arco, an J. A. Suul, Frequencyepenent cale moelling for smallsignal staility analysis of VSCHVDC systems, Transm. Distri. IET Gener., vol. 0, no. 6, pp , 206. [2] L. Harnefors, A. Antonopoulos, S. Norrga, L. Angquist, an H. P. Nee, Dynamic Analysis of Moular Multilevel Converters, IEEE Trans. In. Electron., vol. 60, no. 7, pp , Jul. 203.

Arm Voltage Estimation Method for Compensated Modulation of Modular Multilevel Converters

Arm Voltage Estimation Method for Compensated Modulation of Modular Multilevel Converters Arm Voltage Estimation Metho for Compensate Moulation of Moular Multilevel Converters Ael A. Taffese Elisaetta Teeschi Dept. of Electric Power Engineering Norwegian University of Science an Technology

More information

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method 1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

State-Space Model for a Multi-Machine System

State-Space Model for a Multi-Machine System State-Space Moel for a Multi-Machine System These notes parallel section.4 in the text. We are ealing with classically moele machines (IEEE Type.), constant impeance loas, an a network reuce to its internal

More information

Investigation of local load effect on damping characteristics of synchronous generator using transfer-function block-diagram model

Investigation of local load effect on damping characteristics of synchronous generator using transfer-function block-diagram model ORIGINAL ARTICLE Investigation of local loa effect on amping characteristics of synchronous generator using transfer-function block-iagram moel Pichai Aree Abstract of synchronous generator using transfer-function

More information

4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS

4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS 4. CONRO OF ZERO-SEQUENCE CURREN IN PARAE HREE-PHASE CURREN-BIDIRECIONA CONVERERS 4. A NOVE ZERO-SEQUENCE CURREN CONRO 4.. Zero-Sequence Dynamics he parallel boost rectifier moel in Figure.4 an the parallel

More information

Deriving ARX Models for Synchronous Generators

Deriving ARX Models for Synchronous Generators Deriving AR Moels for Synchronous Generators Yangkun u, Stuent Member, IEEE, Zhixin Miao, Senior Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract Parameter ientification of a synchronous generator

More information

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper proposes a robust power system stabilizer (PSS)

More information

ECE 422 Power System Operations & Planning 7 Transient Stability

ECE 422 Power System Operations & Planning 7 Transient Stability ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of

More information

Assessment of the Buckling Behavior of Square Composite Plates with Circular Cutout Subjected to In-Plane Shear

Assessment of the Buckling Behavior of Square Composite Plates with Circular Cutout Subjected to In-Plane Shear Assessment of the Buckling Behavior of Square Composite Plates with Circular Cutout Sujecte to In-Plane Shear Husam Al Qalan 1)*, Hasan Katkhua 1) an Hazim Dwairi 1) 1) Assistant Professor, Civil Engineering

More information

A Parametric Device Study for SiC Power Electronics

A Parametric Device Study for SiC Power Electronics A Parametric evice Stuy for SiC Power Electronics Burak Ozpineci urak@ieee.org epartment of Electrical an Computer Engineering The University of Tennessee Knoxville TN 7996- Leon M. Tolert tolert@utk.eu

More information

A Comparison between a Conventional Power System Stabilizer (PSS) and Novel PSS Based on Feedback Linearization Technique

A Comparison between a Conventional Power System Stabilizer (PSS) and Novel PSS Based on Feedback Linearization Technique J. Basic. Appl. Sci. Res., ()9-99,, TextRoa Publication ISSN 9-434 Journal of Basic an Applie Scientific Research www.textroa.com A Comparison between a Conventional Power System Stabilizer (PSS) an Novel

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

Dynamics of the synchronous machine

Dynamics of the synchronous machine ELEC0047 - Power system ynamics, control an stability Dynamics of the synchronous machine Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct These slies follow those presente in course

More information

TIME-DELAY ESTIMATION USING FARROW-BASED FRACTIONAL-DELAY FIR FILTERS: FILTER APPROXIMATION VS. ESTIMATION ERRORS

TIME-DELAY ESTIMATION USING FARROW-BASED FRACTIONAL-DELAY FIR FILTERS: FILTER APPROXIMATION VS. ESTIMATION ERRORS TIME-DEAY ESTIMATION USING FARROW-BASED FRACTIONA-DEAY FIR FITERS: FITER APPROXIMATION VS. ESTIMATION ERRORS Mattias Olsson, Håkan Johansson, an Per öwenborg Div. of Electronic Systems, Dept. of Electrical

More information

Chapter 31: RLC Circuits. PHY2049: Chapter 31 1

Chapter 31: RLC Circuits. PHY2049: Chapter 31 1 Chapter 31: RLC Circuits PHY049: Chapter 31 1 LC Oscillations Conservation of energy Topics Dampe oscillations in RLC circuits Energy loss AC current RMS quantities Force oscillations Resistance, reactance,

More information

A Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges

A Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges Plasma Science an Technology, Vol.16, No.1, Oct. 214 A Simple Moel for the Calculation of Plasma Impeance in Atmospheric Raio Frequency Discharges GE Lei ( ) an ZHANG Yuantao ( ) Shanong Provincial Key

More information

PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR

PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR. THE PARALLEL-PLATE CAPACITOR. The Parallel plate capacitor is a evice mae up by two conuctor parallel plates with total influence between them (the surface

More information

Determine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Validation

Determine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Validation Determine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Valiation Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper extens

More information

Lecture 6: Control of Three-Phase Inverters

Lecture 6: Control of Three-Phase Inverters Yoash Levron The Anrew an Erna Viterbi Faculty of Electrical Engineering, Technion Israel Institute of Technology, Haifa 323, Israel yoashl@ee.technion.ac.il Juri Belikov Department of Computer Systems,

More information

Quasi optimal feedforward control of a very low frequency high-voltage test system

Quasi optimal feedforward control of a very low frequency high-voltage test system Preprints of the 9th Worl Congress The International Feeration of Automatic Control Quasi optimal feeforwar control of a very low frequency high-voltage test system W. Kemmetmüller S. Eberharter A. Kugi

More information

arxiv: v1 [cs.ds] 31 May 2017

arxiv: v1 [cs.ds] 31 May 2017 Succinct Partial Sums an Fenwick Trees Philip Bille, Aners Roy Christiansen, Nicola Prezza, an Freerik Rye Skjoljensen arxiv:1705.10987v1 [cs.ds] 31 May 2017 Technical University of Denmark, DTU Compute,

More information

Chapter 6. Electromagnetic Oscillations and Alternating Current

Chapter 6. Electromagnetic Oscillations and Alternating Current hapter 6 Electromagnetic Oscillations an Alternating urrent hapter 6: Electromagnetic Oscillations an Alternating urrent (hapter 31, 3 in textbook) 6.1. Oscillations 6.. The Electrical Mechanical Analogy

More information

State Space Analysis of Power System Stability Enhancement with Used the STATCOM

State Space Analysis of Power System Stability Enhancement with Used the STATCOM tate pace Analysis of Power ystem tability Enhancement with Use the ACOM M. Mahavian () - G. hahgholian () () Department of Electrical Engineering, Islamic Aza University, Naein Branch, Esfahan, Iran ()

More information

EE 370L Controls Laboratory. Laboratory Exercise #7 Root Locus. Department of Electrical and Computer Engineering University of Nevada, at Las Vegas

EE 370L Controls Laboratory. Laboratory Exercise #7 Root Locus. Department of Electrical and Computer Engineering University of Nevada, at Las Vegas EE 370L Controls Laboratory Laboratory Exercise #7 Root Locus Department of Electrical an Computer Engineering University of Nevaa, at Las Vegas 1. Learning Objectives To emonstrate the concept of error

More information

Optimum design of tuned mass damper systems for seismic structures

Optimum design of tuned mass damper systems for seismic structures Earthquake Resistant Engineering Structures VII 175 Optimum esign of tune mass amper systems for seismic structures I. Abulsalam, M. Al-Janabi & M. G. Al-Taweel Department of Civil Engineering, Faculty

More information

Adjoint Transient Sensitivity Analysis in Circuit Simulation

Adjoint Transient Sensitivity Analysis in Circuit Simulation Ajoint Transient Sensitivity Analysis in Circuit Simulation Z. Ilievski 1, H. Xu 1, A. Verhoeven 1, E.J.W. ter Maten 1,2, W.H.A. Schilers 1,2 an R.M.M. Mattheij 1 1 Technische Universiteit Einhoven; e-mail:

More information

Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlled Induction Motor Drive

Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlled Induction Motor Drive Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlle Inuction Motor Drive V. S. S. Pavan Kumar Hari, Avanish Tripathi 2 an G.Narayanan 3 Department of Electrical Engineering,

More information

Systematic Design of Virtual Component Method for Inverter-Based Microgrids

Systematic Design of Virtual Component Method for Inverter-Based Microgrids Systematic Design of Virtual Component Metho for Inverter-Base Microgris Po-Hsu Huang 1, Petr Vorobev 1, Mohame Al Hosani 3, James L. Kirtley 1, an Konstantin Turitsyn 1 1 Massachusetts Institute of Technology

More information

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom PHYSICAL REVIEW A 69, 063409 (2004) Semiclassical analysis of long-wavelength multiphoton processes: The Ryberg atom Luz V. Vela-Arevalo* an Ronal F. Fox Center for Nonlinear Sciences an School of Physics,

More information

Situation awareness of power system based on static voltage security region

Situation awareness of power system based on static voltage security region The 6th International Conference on Renewable Power Generation (RPG) 19 20 October 2017 Situation awareness of power system base on static voltage security region Fei Xiao, Zi-Qing Jiang, Qian Ai, Ran

More information

Design and Application of Fault Current Limiter in Iran Power System Utility

Design and Application of Fault Current Limiter in Iran Power System Utility Australian Journal of Basic an Applie Sciences, 7(): 76-8, 13 ISSN 1991-8178 Design an Application of Fault Current Limiter in Iran Power System Utility M. Najafi, M. Hoseynpoor Department of Electrical

More information

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5

More information

A Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation

A Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation A Novel ecouple Iterative Metho for eep-submicron MOSFET RF Circuit Simulation CHUAN-SHENG WANG an YIMING LI epartment of Mathematics, National Tsing Hua University, National Nano evice Laboratories, an

More information

Postprint.

Postprint. http://www.diva-portal.org Postprint This is the accepted version of a paper presented at 18th European Conference on Power Electronics and Applications (EPE), SEP 05-09, 2016, GERMANY. Citation for the

More information

Suppression Method of Rising DC Voltage for the Halt Sequence of an Inverter in the Motor Regeneration

Suppression Method of Rising DC Voltage for the Halt Sequence of an Inverter in the Motor Regeneration Suppression Metho of Rising DC Voltage for the Halt Sequence of an Inverter in the Motor Regeneration Jun-ichi Itoh Wataru Aoki Goh Teck Chiang Akio Toba Nagaoka University of Technology Fuji Electric

More information

PMU-Based System Identification for a Modified Classic Generator Model

PMU-Based System Identification for a Modified Classic Generator Model PMU-Base System Ientification for a Moifie Classic Generator Moel Yasser Wehbe, Lingling Fan, Senior Member, IEEE Abstract The paper proposes to use PMU measurements (voltage phasor, real an reactive powers)

More information

Optimized Schwarz Methods with the Yin-Yang Grid for Shallow Water Equations

Optimized Schwarz Methods with the Yin-Yang Grid for Shallow Water Equations Optimize Schwarz Methos with the Yin-Yang Gri for Shallow Water Equations Abessama Qaouri Recherche en prévision numérique, Atmospheric Science an Technology Directorate, Environment Canaa, Dorval, Québec,

More information

Dynamics of a Microgrid Supplied by Solid Oxide Fuel Cells 1

Dynamics of a Microgrid Supplied by Solid Oxide Fuel Cells 1 Bulk Power System Dynamics an Control - VII, August 19-4, 007, Charleston, South Carolina, USA 1 Dynamics of a Microgri Supplie by Soli Oxie Fuel Cells 1 Eric M. Fleming Ian A. Hiskens Department of Electrical

More information

Simulink model for examining dynamic interactions involving electro-mechanical oscillations in distribution systems

Simulink model for examining dynamic interactions involving electro-mechanical oscillations in distribution systems University of Wollongong Research Online Faculty of Engineering an Information Sciences - Papers: Part A Faculty of Engineering an Information Sciences 205 Simulink moel for examining ynamic interactions

More information

An extended thermodynamic model of transient heat conduction at sub-continuum scales

An extended thermodynamic model of transient heat conduction at sub-continuum scales An extene thermoynamic moel of transient heat conuction at su-continuum scales G. Leon* an H. Machrafi Department of Astrophysics, Geophysics an Oceanography, Liège University, Allée u 6 Août, 17, B-4000

More information

A Quantitative Analysis of Coupling for a WPT System Including Dielectric/Magnetic Materials

A Quantitative Analysis of Coupling for a WPT System Including Dielectric/Magnetic Materials Progress In Electromagnetics Research Letters, Vol. 72, 127 134, 2018 A Quantitative Analysis of Coupling for a WPT System Incluing Dielectric/Magnetic Materials Yangjun Zhang *, Tatsuya Yoshiawa, an Taahiro

More information

Switching Time Optimization in Discretized Hybrid Dynamical Systems

Switching Time Optimization in Discretized Hybrid Dynamical Systems Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set

More information

THE ACCURATE ELEMENT METHOD: A NEW PARADIGM FOR NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS

THE ACCURATE ELEMENT METHOD: A NEW PARADIGM FOR NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS THE PUBISHING HOUSE PROCEEDINGS O THE ROMANIAN ACADEMY, Series A, O THE ROMANIAN ACADEMY Volume, Number /, pp. 6 THE ACCURATE EEMENT METHOD: A NEW PARADIGM OR NUMERICA SOUTION O ORDINARY DIERENTIA EQUATIONS

More information

Stability Analysis of Parabolic Linear PDEs with Two Spatial Dimensions Using Lyapunov Method and SOS

Stability Analysis of Parabolic Linear PDEs with Two Spatial Dimensions Using Lyapunov Method and SOS Staility Analysis of Paraolic Linear PDEs with Two Spatial Dimensions Using Lyapunov Metho an SOS Evgeny Meyer an Matthew M. Peet Astract In this paper, we aress staility of paraolic linear Partial Differential

More information

Kolmogorov spectra of weak turbulence in media with two types of interacting waves

Kolmogorov spectra of weak turbulence in media with two types of interacting waves 3 Decemer 2001 Physics Letters A 291 (2001) 139 145 www.elsevier.com/locate/pla Kolmogorov spectra of wea turulence in meia with two types of interacting waves F. Dias a P. Guyenne V.E.Zaharov c a Centre

More information

LQG FLUTTER CONTROL OF WIND TUNNEL MODEL USING PIEZO-CERAMIC ACTUATOR

LQG FLUTTER CONTROL OF WIND TUNNEL MODEL USING PIEZO-CERAMIC ACTUATOR 5 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES LQG FLUTTER CONTROL OF WIND TUNNEL MODEL USING PIEZO-CERAMIC ACTUATOR Tatsunori Kaneko* an Yasuto Asano* * Department of Mechanical Engineering,

More information

The effect of nonvertical shear on turbulence in a stably stratified medium

The effect of nonvertical shear on turbulence in a stably stratified medium The effect of nonvertical shear on turbulence in a stably stratifie meium Frank G. Jacobitz an Sutanu Sarkar Citation: Physics of Fluis (1994-present) 10, 1158 (1998); oi: 10.1063/1.869640 View online:

More information

Impact of DFIG based Wind Energy Conversion System on Fault Studies and Power Swings

Impact of DFIG based Wind Energy Conversion System on Fault Studies and Power Swings Impact of DFIG base Win Energy Conversion System on Fault Stuies an Power Swings Likin Simon Electrical Engineering Department Inian Institute of Technology, Maras Email: ee133@ee.iitm.ac.in K Shanti Swarup

More information

Vector Control Strategies to Enable Equal Frequency Operation of the Modular Multilevel Matrix Converter

Vector Control Strategies to Enable Equal Frequency Operation of the Modular Multilevel Matrix Converter Vector Control Strategies to Enable Equal Frequency Operation of the Moular Multilevel Matrix Converter M. Diaz 1, M. Espinosa, F. Rojas 1, P. Wheeler, R. Carenas 4 1 University of Santiago of Chile, Chile,

More information

Transmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency

Transmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency Transmission Line Matrix (TLM network analogues of reversible trapping processes Part B: scaling an consistency Donar e Cogan * ANC Eucation, 308-310.A. De Mel Mawatha, Colombo 3, Sri Lanka * onarecogan@gmail.com

More information

Total Energy Shaping of a Class of Underactuated Port-Hamiltonian Systems using a New Set of Closed-Loop Potential Shape Variables*

Total Energy Shaping of a Class of Underactuated Port-Hamiltonian Systems using a New Set of Closed-Loop Potential Shape Variables* 51st IEEE Conference on Decision an Control December 1-13 212. Maui Hawaii USA Total Energy Shaping of a Class of Uneractuate Port-Hamiltonian Systems using a New Set of Close-Loop Potential Shape Variables*

More information

Conservation laws a simple application to the telegraph equation

Conservation laws a simple application to the telegraph equation J Comput Electron 2008 7: 47 51 DOI 10.1007/s10825-008-0250-2 Conservation laws a simple application to the telegraph equation Uwe Norbrock Reinhol Kienzler Publishe online: 1 May 2008 Springer Scienceusiness

More information

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments 2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Estimation amount of snow deposits on the road

Estimation amount of snow deposits on the road Estimation amount of snow eposits on the roa Olga. Glaysheva oronezh State University of Architecture an Civil Engineering, Russia Email: glaov@ox.vsi.ru ABSTRACT The article uner consieration gives the

More information

6.003 Homework #7 Solutions

6.003 Homework #7 Solutions 6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters

More information

arxiv: v1 [physics.flu-dyn] 8 May 2014

arxiv: v1 [physics.flu-dyn] 8 May 2014 Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa

More information

PES 1120 Spring 2014, Spendier Lecture 36/Page 1

PES 1120 Spring 2014, Spendier Lecture 36/Page 1 PES 0 Spring 04, Spenier ecture 36/Page Toay: chapter 3 - R circuits: Dampe Oscillation - Driven series R circuit - HW 9 ue Wenesay - FQs Wenesay ast time you stuie the circuit (no resistance) The total

More information

We G Model Reduction Approaches for Solution of Wave Equations for Multiple Frequencies

We G Model Reduction Approaches for Solution of Wave Equations for Multiple Frequencies We G15 5 Moel Reuction Approaches for Solution of Wave Equations for Multiple Frequencies M.Y. Zaslavsky (Schlumberger-Doll Research Center), R.F. Remis* (Delft University) & V.L. Druskin (Schlumberger-Doll

More information

Nested Saturation with Guaranteed Real Poles 1

Nested Saturation with Guaranteed Real Poles 1 Neste Saturation with Guarantee Real Poles Eric N Johnson 2 an Suresh K Kannan 3 School of Aerospace Engineering Georgia Institute of Technology, Atlanta, GA 3332 Abstract The global stabilization of asymptotically

More information

Chapter 11: Feedback and PID Control Theory

Chapter 11: Feedback and PID Control Theory Chapter 11: Feeback an D Control Theory Chapter 11: Feeback an D Control Theory. ntrouction Feeback is a mechanism for regulating a physical system so that it maintains a certain state. Feeback works by

More information

Optimal Signal Detection for False Track Discrimination

Optimal Signal Detection for False Track Discrimination Optimal Signal Detection for False Track Discrimination Thomas Hanselmann Darko Mušicki Dept. of Electrical an Electronic Eng. Dept. of Electrical an Electronic Eng. The University of Melbourne The University

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Power Generation and Distribution via Distributed Coordination Control

Power Generation and Distribution via Distributed Coordination Control Power Generation an Distribution via Distribute Coorination Control Byeong-Yeon Kim, Kwang-Kyo Oh, an Hyo-Sung Ahn arxiv:407.4870v [math.oc] 8 Jul 204 Abstract This paper presents power coorination, power

More information

PCCP PAPER. 1 Introduction. A. Nenning,* A. K. Opitz, T. M. Huber and J. Fleig. View Article Online View Journal View Issue

PCCP PAPER. 1 Introduction. A. Nenning,* A. K. Opitz, T. M. Huber and J. Fleig. View Article Online View Journal View Issue PAPER View Article Online View Journal View Issue Cite this: Phys. Chem. Chem. Phys., 2014, 16, 22321 Receive 4th June 2014, Accepte 3r September 2014 DOI: 10.1039/c4cp02467b www.rsc.org/pccp 1 Introuction

More information

NON-SMOOTH DYNAMICS USING DIFFERENTIAL-ALGEBRAIC EQUATIONS PERSPECTIVE: MODELING AND NUMERICAL SOLUTIONS. A Thesis PRIYANKA GOTIKA

NON-SMOOTH DYNAMICS USING DIFFERENTIAL-ALGEBRAIC EQUATIONS PERSPECTIVE: MODELING AND NUMERICAL SOLUTIONS. A Thesis PRIYANKA GOTIKA NON-SMOOTH DYNAMICS USING DIFFERENTIAL-ALGEBRAIC EQUATIONS PERSPECTIVE: MODELING AND NUMERICAL SOLUTIONS A Thesis by PRIYANKA GOTIKA Submitte to the Office of Grauate Stuies of Texas A&M University in

More information

Motion-Copying System Using FPGA-based Friction-Free Disturbance Observer

Motion-Copying System Using FPGA-based Friction-Free Disturbance Observer IEEJ Journal of Inustry Applications Vol.3 No.3 pp.248 259 DOI: 10.1541/ieejjia.3.248 Paper Motion-Copying System Using FPGA-base Friction-Free Disturbance Observer Thao Tran Phuong a) Member, Kiyoshi

More information

Systematic Design of Virtual Component Method for Inverter-Based Microgrids

Systematic Design of Virtual Component Method for Inverter-Based Microgrids Systematic Design of Virtual Component Metho for Inverter-Base Microgris Po-Hsu Huang 1, Petr Vorobev 1, Mohame Al Hosani, James L. Kirtley 1, an Konstantin Turitsyn 1 1 Massachusetts Institute of Technology

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy IPA Derivatives for Make-to-Stock Prouction-Inventory Systems With Backorers Uner the (Rr) Policy Yihong Fan a Benamin Melame b Yao Zhao c Yorai Wari Abstract This paper aresses Infinitesimal Perturbation

More information

Exponential Tracking Control of Nonlinear Systems with Actuator Nonlinearity

Exponential Tracking Control of Nonlinear Systems with Actuator Nonlinearity Preprints of the 9th Worl Congress The International Feeration of Automatic Control Cape Town, South Africa. August -9, Exponential Tracking Control of Nonlinear Systems with Actuator Nonlinearity Zhengqiang

More information

Implications of Capacitor Voltage Imbalance on the Operation of the Semi-Full-Bridge Submodule

Implications of Capacitor Voltage Imbalance on the Operation of the Semi-Full-Bridge Submodule Implications of Capacitor Voltage Imbalance on the Operation of the Semi-Full-Bridge Submodule Stefanie Heinig, Keijo Jacobs, Kalle Ilves, Staffan Norrga, and Hans-Peter Nee KTH Royal Institute of Technology,

More information

Chapter 11: Feedback and PID Control Theory

Chapter 11: Feedback and PID Control Theory Chapter 11: Feeback an D Control Theory Chapter 11: Feeback an D Control Theory. ntrouction Feeback is a mechanism for regulating a physical system so that it maintains a certain state. Feeback works by

More information

Modelling of Permanent Magnet Synchronous Motor Incorporating Core-loss

Modelling of Permanent Magnet Synchronous Motor Incorporating Core-loss Research Journal of Applie Sciences, Engineering an Technology 4(7): 846-85, ISSN: 4-7467 Maxwell Scientific Organization, Submitte: November, Accepte: December 9, Publishe: September, Moelling of Permanent

More information

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Design and Analysis of Brushless Self-Excited Three-Phase Synchronous Generator

Design and Analysis of Brushless Self-Excited Three-Phase Synchronous Generator European Association for the Development of Renewale Energies, Environment an Power Quality (EA4EPQ) International Conference on Renewale Energies an Power Quality (ICREPQ 12) Santiago e Compostela (Spain),

More information

Chapter 11: Feedback and PID Control Theory

Chapter 11: Feedback and PID Control Theory Chapter 11: Feeback an ID Control Theory Chapter 11: Feeback an ID Control Theory I. Introuction Feeback is a mechanism for regulating a physical system so that it maintains a certain state. Feeback works

More information

One Dimensional Convection: Interpolation Models for CFD

One Dimensional Convection: Interpolation Models for CFD One Dimensional Convection: Interpolation Moels for CFD ME 448/548 Notes Geral Recktenwal Portlan State University Department of Mechanical Engineering gerry@p.eu ME 448/548: D Convection-Di usion Equation

More information

ANALYSIS AND DETERMINATION OF SYMMETRICAL THREE- PHASE WINDINGS WITH FOCUS ON TOOTH COIL WINDINGS

ANALYSIS AND DETERMINATION OF SYMMETRICAL THREE- PHASE WINDINGS WITH FOCUS ON TOOTH COIL WINDINGS ISF - XV International Symposium on lectromagnetic Fiels in Mechatronics, lectrical an lectronic ngineering Funchal, Maeira, Septemer -3, AALYSIS AD DTRMIATIO OF SYMMTRICAL THR- PHAS WIDIGS WITH FOCUS

More information

ELEC3114 Control Systems 1

ELEC3114 Control Systems 1 ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.

More information

Chapter 11: Feedback and PID Control Theory

Chapter 11: Feedback and PID Control Theory Chapter 11: Feeback an D Control Theory Chapter 11: Feeback an D Control Theory. ntrouction Feeback is a mechanism for regulating a physical system so that it maintains a certain state. Feeback works by

More information

Reactive Power Compensation in Mechanical Systems

Reactive Power Compensation in Mechanical Systems Reactive Power Compensation in Mechanical Systems Carlos Rengifo, Bassel Kaar, Yannick Aoustin, Christine Chevallereau To cite this version: Carlos Rengifo, Bassel Kaar, Yannick Aoustin, Christine Chevallereau.

More information

Time-Optimal Motion Control of Piezoelectric Actuator: STM Application

Time-Optimal Motion Control of Piezoelectric Actuator: STM Application Time-Optimal Motion Control of Piezoelectric Actuator: STM Application Yongai Xu, Peter H. Mecl Abstract This paper exaes the problem of time-optimal motion control in the context of Scanning Tunneling

More information

Capacitors. January 2002 Number 29

Capacitors. January 2002 Number 29 PhysicsFactsheet January 22 Number 29 Capacitors Introuction Capacitors are wiely use in electrical engineering an electronics hey are important in any physics course because of the variety of uses they

More information

Chapter 2 Lagrangian Modeling

Chapter 2 Lagrangian Modeling Chapter 2 Lagrangian Moeling The basic laws of physics are use to moel every system whether it is electrical, mechanical, hyraulic, or any other energy omain. In mechanics, Newton s laws of motion provie

More information

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS. Jože Kutin *, Ivan Bajsić

CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS. Jože Kutin *, Ivan Bajsić Sensors an Actuators A: Physical 168 (211) 149-154 oi: 1.116/j.sna.211..7 211 Elsevier B.V. CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS Jože Kutin *, Ivan Bajsić Laboratory of

More information

Quantum mechanical approaches to the virial

Quantum mechanical approaches to the virial Quantum mechanical approaches to the virial S.LeBohec Department of Physics an Astronomy, University of Utah, Salt Lae City, UT 84112, USA Date: June 30 th 2015 In this note, we approach the virial from

More information

Experimental Robustness Study of a Second-Order Sliding Mode Controller

Experimental Robustness Study of a Second-Order Sliding Mode Controller Experimental Robustness Stuy of a Secon-Orer Sliing Moe Controller Anré Blom, Bram e Jager Einhoven University of Technology Department of Mechanical Engineering P.O. Box 513, 5600 MB Einhoven, The Netherlans

More information

Adjustable Fractional-Delay Filters Utilizing the Farrow Structure and Multirate Techniques

Adjustable Fractional-Delay Filters Utilizing the Farrow Structure and Multirate Techniques Ajustable Fractional-Delay Filters Utilizing the Farrow Structure an Multirate Techniques Håkan Johansson (hakanj@isy.liu.se)* an Ewa Hermanowicz (hewa@eti.pg.ga.pl)** *Division of Electronics Systems,

More information

Module 2. DC Circuit. Version 2 EE IIT, Kharagpur

Module 2. DC Circuit. Version 2 EE IIT, Kharagpur Moule 2 DC Circuit Lesson 9 Analysis of c resistive network in presence of one non-linear element Objectives To unerstan the volt (V ) ampere ( A ) characteristics of linear an nonlinear elements. Concept

More information

Simple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor

Simple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor DOI: 10.24352/UB.OVGU-2017-110 TECHNISCHE MECHANIK, 37, 2-5, (2017), 347-357 submitte: June 15, 2017 Simple Electromagnetic Motor Moel for Torsional Analysis of Variable Spee Drives with an Inuction Motor

More information

Nonlinear Adaptive Ship Course Tracking Control Based on Backstepping and Nussbaum Gain

Nonlinear Adaptive Ship Course Tracking Control Based on Backstepping and Nussbaum Gain Nonlinear Aaptive Ship Course Tracking Control Base on Backstepping an Nussbaum Gain Jialu Du, Chen Guo Abstract A nonlinear aaptive controller combining aaptive Backstepping algorithm with Nussbaum gain

More information

The Energy Flow Approach for Oscillation Source Location and Damping Evaluation

The Energy Flow Approach for Oscillation Source Location and Damping Evaluation 1 The Energy Flow Approach for Oscillation Source Location an Damping Evaluation Lei CHEN PhD, Associate Professor Department of Electrical Engineering Tsinghua University chenlei08@tsinghua.eu.cn Backgroun

More information

BEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS. Mauro Boccadoro Magnus Egerstedt Paolo Valigi Yorai Wardi

BEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS. Mauro Boccadoro Magnus Egerstedt Paolo Valigi Yorai Wardi BEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS Mauro Boccaoro Magnus Egerstet Paolo Valigi Yorai Wari {boccaoro,valigi}@iei.unipg.it Dipartimento i Ingegneria Elettronica

More information

Both the ASME B and the draft VDI/VDE 2617 have strengths and

Both the ASME B and the draft VDI/VDE 2617 have strengths and Choosing Test Positions for Laser Tracker Evaluation an Future Stanars Development ala Muralikrishnan 1, Daniel Sawyer 1, Christopher lackburn 1, Steven Phillips 1, Craig Shakarji 1, E Morse 2, an Robert

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

Predictive control of synchronous generator: a multiciterial optimization approach

Predictive control of synchronous generator: a multiciterial optimization approach Preictive control of synchronous generator: a multiciterial optimization approach Marián Mrosko, Eva Miklovičová, Ján Murgaš Abstract The paper eals with the preictive control esign for nonlinear systems.

More information