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Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller

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Frontiers of Electrical and Electronic Engineering

Abstract

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.

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References

  1. Kundur P, Balu N J, Lauby M G. Power System Stability and Control. New York: McGraw-Hill, 1994

    Google Scholar 

  2. Rogers G. Power System Oscillations. Boston: Kluwer Academic, 2000

    Book  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  5. Liu Y, Li J, Li C. Robust excitation control of multi-machine multiload power systems using Hamiltonian function method. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(4): 547–555

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  15. Sun L Y, Tong S, Liu Y. Adaptive backstepping sliding mode H1 control of static var compensator. IEEE Transactions on Control Systems Technology, 2011, 19(5): 1178–1185

    Article  Google Scholar 

  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

    Google Scholar 

  17. Parniani M, Iravani M. Optimal robust control design of static VAR compensators. IEE Proceedings-Generation, Transmission and Distribution, 1998, 145(3): 301–307

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Google Scholar 

  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. IET Generation, Transmission & Distribution, 2008, 2(3): 355–372

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  26. Wang H. Damping function of unified power flow controller. IEE Proceedings-Generation, Transmission and Distribution, 1999, 146(1): 81–87

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  MathSciNet  Google Scholar 

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Correspondence to Rasool Kazemzadeh.

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Hashemi, Y., Kazemzadeh, R., Azizian, M.R. et al. Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller. Front. Electr. Electron. Eng. 7, 416–426 (2012). https://doi.org/10.1007/s11460-012-0219-6

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  • DOI: https://doi.org/10.1007/s11460-012-0219-6

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