{"title":"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","volume":43,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1028,"pagesEnd":1033,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/12232","abstract":"this paper focuses on designing of PSS and SVC\r\ncontroller based on chaos and PSO algorithms to improve the\r\nstability of power system. Single machine infinite bus (SMIB) system\r\nwith SVC located at the terminal of generator has been considered to\r\nevaluate the proposed controllers where both SVC and PSS have the\r\nsame controller. The coefficients of PSS and SVC controller have\r\nbeen optimized by chaos and PSO algorithms. Finally the system\r\nwith proposed controllers has been simulated for the special\r\ndisturbance in input power of generator, and then the dynamic\r\nresponses of generator have been presented. The simulation results\r\nshowed that the system composed with recommended controller has\r\noutstanding operation in fast damping of oscillations of power system.","references":"[1] S. Sheetekela, K. Folly, and O. Malik, \" Design and Implementation of\r\nPower System Stabilizers based on Evolutionary Algorithms,\"IEEE\r\nconference , pp. 1-6, 2009.\r\n[2] M.A. Abido, and Y.L. Abdel-Magid, \" Coordinated design of a PSS and\r\nan SVC-based controller to enhance power system stability,\"\r\nInternational journal of Electrical Power and Energy Systems, pp. 695-\r\n704, 2003.\r\n[3] A. Phiri, and KA Folly, \" Application of Breeder GA to Power System\r\nController Design,\"IEEE conference , pp. 1-5, 2008.\r\n[4] Wenxin Liu, Ganesh K, Venayagamoorthy, Donald C, and Wunsch I1, \"\r\nAdaptive Neural Network Based Power System Stabilizer Design,\"IEEE\r\nconference , pp. 2970-2975, 2003.\r\n[5] S. Panda, \"Multi-objective non-dominated shorting genetic algorithm-II\r\nfor excitation and TCSC-based controller design,\" journal of Electrical\r\nEngineering,vol. 60, NO. 2, pp. 86-93, 2009.\r\n[6] N. G. Hingoran and L. Gyugy,\" Understanding FACTS, Concepts and\r\nTechnology of Flexible AC Transmission System,\" New York: Inst.\r\nElect. Electron. Eng., Inc., 2000.\r\n[7] N.G. Hingorani, \"High power electronics and flexible AC transmission\r\nsystem,\" IEEE Power Engineering review, july 1988.\r\n[8] R. Jayabarathi, M .R Sindhu, N. Devarajan , and T. N. P. Nambiar,\"\r\nDevelopment of a Laboratory Model of Hybrid Static Var\r\nCompensator,\" IEEE conference, 2006.\r\n[9] P.F. Puleston *, S.A. Gonza'lez, and F. Valenciaga,\" A STATCOM\r\nbased variable structure control for power system oscillations damping,\"\r\nInternational journal of Electrical Power and Energy Systems, pp. 241-\r\n250, July 2006.\r\n[10] Y.P. Wang, D.R. Hur, H.H. Chung, N.R. Watson, J. Arrillaga, S.S.\r\nMatair,\" A Genetic Algorithms Aproach To Design Optimal PI\r\nController For Static Var Compensator,\"IEEE conference , pp. 1557-\r\n1562, 2000.\r\n[11] Tso SK, Liang J, Zeng QY, Lo KL, Zhou XX,\" Coordination of TCSC\r\nand SVC for stability improvement of power systems,\"Proceedings of\r\nthe fourth international conference on advances in power system control,\r\noperation and mangement, pp. 371-376, November 1997.\r\n[12] Padiyar KR, Varma RK,\" Damping torque analysis of static var system\r\ncontrollers,\"IEEE Trans Power Syst ,pp. 458-465,1991.\r\n[13] Y.P. Wang, D.R. Hur, H.H. Chung, N.R. Watson, J. Arrillaga, S.S.\r\nMatair,\" A Genetic Algorithms Aproach To Design Optimal PI\r\nController For Static Var Compensator,\"IEEE conference , pp. 1557-\r\n1562, 2000.\r\n[14] Su Wang, and Bo Meng, \" Chaos Particle Swarm Optimization for\r\nResource Allocation Problem,\"IEEE conference , pp. 464-467, 2007.\r\n[15] L. Shengsong, W. Min and H. Zhijian, \" Hybrid algorithm of chaos\r\noptimisation and SLP for optimal power flow problems with multimodal\r\ncharacteristic,\" IEE Proc.-Geneationr. Transmisoin. Distribution., Vol.\r\n150, No. 5, September 2003.\r\n[16] Shan Miyuan, Wu Juan, and Peng Danni, \" Particle Swarm and Ant\r\nColony Algorithms Hybridized for Multi-mode Resource-constrained\r\nProject Scheduling Problem with Minimum Time Lag,\"IEEE\r\nconference , pp5898-5902, 2007.\r\n[17] L. Zhao, and Y. Yang, \" PSO-based single multiplicative neuron model\r\nfor time series prediction,\" International journal of Expert Systems with\r\nApplications, pp. 2805-2812, 2009.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 43, 2010"}