Frontiers of Electrical and Electronic Engineering >
Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller
Received date: 26 Aug 2012
Accepted date: 16 Oct 2012
Published date: 05 Dec 2012
Copyright
The objective of this work is the coordinated design of controllers that can enhance damping of power system swings. With presence of flexible AC transmission system (FACTS) device as unified power flow controller (UPFC), three specific classes of the power system stabilizers (PSSs) have been investigated. The first one is a conventional power system stabilizer (CPSS); the second one is a dual-input power system stabilizer (dual-input PSS); and the third one is an accelerating power PSS model (PSS2B). Dual-input PSS and PSS2B are introduced to maintain the robustness of control performance in a wide range of swing frequency. Uncoordinated PSS and UPFC damping controller may cause unwanted interactions; therefore, the simultaneous coordinated tuning of the controller parameters is needed. The problem of coordinated design is formulated as an optimization problem, and particle swarm optimization (PSO) algorithm is employed to search for optimal parameters of controllers. Finally, in a system having a UPFC, comparative analysis of the results obtained from application of the dual-input PSS, PSS2B, and CPSS is presented. The eigenvalue analysis and the time-domain simulation results show that the dual-input PSS & UPFC and the PSS2B & UPFC coordination provide a better performance than the conventional single-input PSS & UPFC coordination. Also, the PSS2B & UPFC coordination has the best performance.
Yashar HASHEMI , Rasool KAZEMZADEH , Mohammad Reza AZIZIAN , Ahmad SADEGHI YAZDANKHAH . Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(4) : 416 -426 . DOI: 10.1007/s11460-012-0219-6
1 |
Kundur P, Balu N J, Lauby M G. Power System Stability and Control. New York: McGraw-Hill, 1994
|
2 |
Rogers G. Power System Oscillations. Boston: Kluwer Academic, 2000
|
3 |
Kitauchi Y, Taniguchi H, Shirasaki T, Ichikawa Y, Amano M, Banjo M. Experimental verification of multi-input PSS with reactive power input for damping low frequency power swing. IEEE Transactions on Energy Conversion, 1999, 14(4): 1124-1130
|
4 |
Kamwa I, Grondin R, Trudel G. IEEE PSS2B versus PSS4B: The limits of performance of modern power system stabilizers. IEEE Transactions on Power Systems, 2005, 20(2): 903-915
|
5 |
Liu Y, Li J, Li C. Robust excitation control of multi-machine multi-load power systems using Hamiltonian function method. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(4): 547-555
|
6 |
IEEE Power Engineering Society. IEEE Recommended Practice for Excitation System Models for Power System Stability Studies (IEEE Std 421.5-2005). 2006
|
7 |
Shakarami M R, Kazemi A. Robust design of static synchronous series compensator-based stabilizer for damping inter-area oscillations using quadratic mathematical programming. Journal of Zhejiang University-Science C, 2010, 11(4): 296-306
|
8 |
Chang J, Chow J H. Time-optimal series capacitor control for damping interarea modes in interconnected power systems. IEEE Transactions on Power Systems, 1997, 12(1): 215-221
|
9 |
Abido M A. Genetic-based TCSC damping controller design for power system stability enhancement. In: Proceedings of International Conference on Electric Power Engineering. 1999, 165
|
10 |
Abido M. Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing. International Journal of Electrical Power & Energy Systems, 2000, 22(8): 543-554
|
11 |
Rezazadeh A, Sedighizadeh M, Hasaninia A.Coordination of PSS and TCSC controller using modified particle swarm optimization algorithm to improve power system dynamic performance. Journal of Zhejiang University-Science C, 2010, 11(8): 645-653
|
12 |
Baker R, Guth G, Egli W, Eglin P. Control algorithm for a static phase shifting transformer to enhance transient and dynamic stability of large power systems. IEEE Transactions on Power Apparatus and Systems, 1982, PAS-101(9): 3532-3542
|
13 |
Jiang F, Choi S, Shrestha G. Power system stability enhancement using static phase shifter. IEEE Transactions on Power Systems, 1997, 12(1): 207-214
|
14 |
Jiang T, Chen C, Cao G. Nonlinear optimal predictive controller for static var compensator to improve power system damping and to maintain voltage. Frontiers of Electrical and Electronic Engineering in China, 2006, 1(4): 380-384
|
15 |
Sun L Y, Tong S, Liu Y. Adaptive backstepping sliding mode H∞ control of static var compensator. IEEE Transactions on Control Systems Technology, 2011, 19(5): 1178-1185
|
16 |
Rao P S, Sen I. A QFT based robust SVC controller for improving the dynamic stability of power systems. In: Proceedings of the Fourth International Conference on Advances in Power System Control, Operation and Management. 1997, 1: 366-370
|
17 |
Parniani M, Iravani M. Optimal robust control design of static VAR compensators. IEE Proceedings-Generation, Transmission and Distribution, 1998, 145(3): 301-307
|
18 |
Jalilvand A, Safari A. Design of an immune-genetic algorithm-based optimal state feedback controller as UPFC. In: Proceedings of the 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 2009, 36-39
|
19 |
Dash P, Mishra S, Panda G. Damping multimodal power system oscillation using a hybrid fuzzy controller for series connected FACTS devices. IEEE Transactions on Power Systems, 2000, 15(4): 1360-1366
|
20 |
Dong L, Zhang L, Crow M. A new control strategy for the unified power flow controller. In: Proceedings of the IEEE Power Engineering Society Winter Meeting. 2002, 1: 562-566
|
21 |
Schoder K, Hasanovic A, Feliachi A. Fuzzy damping controller for the unified power flow controller. In: Proceedings of the IEEE Power Engineering Society Winter Meeting 2000, 5-21
|
22 |
Nguyen T, Gianto R. Neural networks for adaptive control coordination of PSSs and FACTS devices in multimachine power system.
|
23 |
Lei X, Lerch E N, Povh D. Optimization and coordination of damping controls for improving system dynamic performance. IEEE Transactions on Power Systems, 2001, 16(3): 473-480
|
24 |
Cai L J, Erlich I. Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems. IEEE Transactions on Power Systems, 2005, 20(1): 294-300
|
25 |
Pourbeik P, Gibbard M J. Simultaneous coordination of power system stabilizers and FACTS device stabilizers in a multimachine power system for enhancing dynamic performance. IEEE Transactions on Power Systems, 1998, 13(2): 473-479
|
26 |
Wang H. Damping function of unified power flow controller. IEE Proceedings-Generation, Transmission and Distribution, 1999, 146(1): 81-87
|
27 |
Yoshimura K, Uchida N. Multi input PSS optimization method for practical use by considering several operating conditions. In: Proceedings of the IEEE Power Engineering Society Winter Meeting. 1999, 749-754
|
28 |
Hashemi Y, Kazemzadeh R, Azizian M R, Sadeghi A, Morsali J. Simultaneous coordinated tuning of UPFC and multi-input PSS for damping of power system oscillations. In: Proceedings of the 26th International Power System Conference. 2011
|
29 |
Alves da Silva A, Abrão P J. Applications of evolutionary computation in electric power systems. In: Proceedings of the Congress on Evolutionary Computation. 2002, 1057-1062
|
30 |
Abdel-Magid Y, Abido M. Optimal multiobjective design of robust power system stabilizers using genetic algorithms. IEEE Transactions on Power Systems, 2003, 18(3): 1125-1132
|
31 |
Do Bomfim A L B, Taranto G N, Falcao D M. Simultaneous tuning of power system damping controllers using genetic algorithms. IEEE Transactions on Power Systems, 2000, 15(1): 163-169
|
32 |
Jayabarathi T, Bahl P, Ohri H, Yazdani A, Ramesh V. A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects. Frontiers in Energy, 2012, 6(2): 155-163
|
33 |
Alrashidi M, El-Hawary M. A survey of particle swarm optimization applications in power system operations. Electric Power Components and Systems, 2006, 34(12): 1349-1357
|
34 |
del Valle Y, Venayagamoorthy G K, Mohagheghi S, Hernandez J C, Harley R G. Particle swarm optimization: Basic concepts, variants and applications in power systems. IEEE Transactions on Evolutionary Computation, 2008, 12(2): 171-195
|
35 |
Kennedy J, Eberhart R. Particle swarm optimization. In: Proceedings of International Conference on Neural Networks. 1995, 1942-1948
|
36 |
Hamdan A. An investigation of the significance of singular value decomposition in power system dynamics. International Journal of Electrical Power & Energy Systems, 1999, 21(6): 417-424
|
/
〈 |
|
〉 |