PSS and SVC Controller Design by Chaos and PSO Algorithms to Enhancing the Power System Stability

Authors: Saeed jalilzadeh, Mohammad Reza Safari Tirtashi, Mohsen Sadeghi

Abstract:

this paper focuses on designing of PSS and SVC controller based on chaos and PSO algorithms to improve the stability of power system. Single machine infinite bus (SMIB) system with SVC located at the terminal of generator has been considered to evaluate the proposed controllers where both SVC and PSS have the same controller. The coefficients of PSS and SVC controller have been optimized by chaos and PSO algorithms. Finally the system with proposed controllers has been simulated for the special disturbance in input power of generator, and then the dynamic responses of generator have been presented. The simulation results showed that the system composed with recommended controller has outstanding operation in fast damping of oscillations of power system.

Keywords: PSS, CHAOS, PSO, Stability

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078807

References:

[1] S. Sheetekela, K. Folly, and O. Malik, " Design and Implementation of Power System Stabilizers based on Evolutionary Algorithms,"IEEE conference , pp. 1-6, 2009.
[2] M.A. Abido, and Y.L. Abdel-Magid, " Coordinated design of a PSS and an SVC-based controller to enhance power system stability," International journal of Electrical Power and Energy Systems, pp. 695- 704, 2003.
[3] A. Phiri, and KA Folly, " Application of Breeder GA to Power System Controller Design,"IEEE conference , pp. 1-5, 2008.
[4] Wenxin Liu, Ganesh K, Venayagamoorthy, Donald C, and Wunsch I1, " Adaptive Neural Network Based Power System Stabilizer Design,"IEEE conference , pp. 2970-2975, 2003.
[5] S. Panda, "Multi-objective non-dominated shorting genetic algorithm-II for excitation and TCSC-based controller design," journal of Electrical Engineering,vol. 60, NO. 2, pp. 86-93, 2009.
[6] N. G. Hingoran and L. Gyugy," Understanding FACTS, Concepts and Technology of Flexible AC Transmission System," New York: Inst. Elect. Electron. Eng., Inc., 2000.
[7] N.G. Hingorani, "High power electronics and flexible AC transmission system," IEEE Power Engineering review, july 1988.
[8] R. Jayabarathi, M .R Sindhu, N. Devarajan , and T. N. P. Nambiar," Development of a Laboratory Model of Hybrid Static Var Compensator," IEEE conference, 2006.
[9] P.F. Puleston *, S.A. Gonza'lez, and F. Valenciaga," A STATCOM based variable structure control for power system oscillations damping," International journal of Electrical Power and Energy Systems, pp. 241- 250, July 2006.
[10] Y.P. Wang, D.R. Hur, H.H. Chung, N.R. Watson, J. Arrillaga, S.S. Matair," A Genetic Algorithms Aproach To Design Optimal PI Controller For Static Var Compensator,"IEEE conference , pp. 1557- 1562, 2000.
[11] Tso SK, Liang J, Zeng QY, Lo KL, Zhou XX," Coordination of TCSC and SVC for stability improvement of power systems,"Proceedings of the fourth international conference on advances in power system control, operation and mangement, pp. 371-376, November 1997.
[12] Padiyar KR, Varma RK," Damping torque analysis of static var system controllers,"IEEE Trans Power Syst ,pp. 458-465,1991.
[13] Y.P. Wang, D.R. Hur, H.H. Chung, N.R. Watson, J. Arrillaga, S.S. Matair," A Genetic Algorithms Aproach To Design Optimal PI Controller For Static Var Compensator,"IEEE conference , pp. 1557- 1562, 2000.
[14] Su Wang, and Bo Meng, " Chaos Particle Swarm Optimization for Resource Allocation Problem,"IEEE conference , pp. 464-467, 2007.
[15] L. Shengsong, W. Min and H. Zhijian, " Hybrid algorithm of chaos optimisation and SLP for optimal power flow problems with multimodal characteristic," IEE Proc.-Geneationr. Transmisoin. Distribution., Vol. 150, No. 5, September 2003.
[16] Shan Miyuan, Wu Juan, and Peng Danni, " Particle Swarm and Ant Colony Algorithms Hybridized for Multi-mode Resource-constrained Project Scheduling Problem with Minimum Time Lag,"IEEE conference , pp5898-5902, 2007.
[17] L. Zhao, and Y. Yang, " PSO-based single multiplicative neuron model for time series prediction," International journal of Expert Systems with Applications, pp. 2805-2812, 2009.