{"title":"Real-Coded Genetic Algorithm for Robust Power System Stabilizer Design","authors":"Sidhartha Panda, C. Ardil","volume":56,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1170,"pagesEnd":1179,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15177","abstract":"
Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions; disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.<\/p>\r\n","references":"[1] P. Kundur, Power System Stability and Control. New York: McGraw-\r\nHill, 1994.\r\n[2] P. Kundur, M. Klein, G. J. Rogers, and M. S. Zywno, \"Application of\r\npower system stabilizers for enhancement of overall system stability,\"\r\nIEEE Trans. Power Syst., vol. 4, pp. 614-626, 1989.\r\n[3] M. A. Abido , \"Pole placement technique for PSS and TCSC-based\r\nstabilizer design using simulated annealing\" Electrical Power and\r\nEnergy Systems ,vol-22 , pp 543-554, 2000.\r\n[4] Y.L. Abdel-Magid, M.A. Abido, \"Coordinated design of a PSS and a\r\nSVC-based controller to enhance power system stability. Electrical\r\nPower & Energy Syst, vol. 25, pp. 695-704, 2003.\r\n[5] Y.L. Abdel-Magid and M.A.Abido, \"Robust coordinated design of\r\nexcitation and TCSC-based stabilizers using genetic algorithms,\r\nInternational Journal of Electrical Power & Energy Systems, vol. 69,\r\nno. 2-3, pp. 129-141. 2004.\r\n[6] D.E.Goldberg, Genetic Algorithms in Search, Optimization and Machine\r\nLearning. Addison-Wesley, 1989.\r\n[7] SimPowerSystems 4.3 User-s Guide,\r\nAvailable:http:\/\/www.mathworks.com\/products\/simpower\/\r\n[8] M.Noroozian, G.Anderson, and K.Tomsovic, \"Robust near-optimal\r\ncontrol of power system oscillation with fuzzy logic\", IEEE Trans.\r\nPower Del., Vol. 11, No. 1, pp. 393-400, January 1996.\r\n[9] S.Mishra, P.K.Dash, P.K.Hota, and M.Tripathy, \"Genetically optimized\r\nneuro-fuzzy IPFC for damping modal oscillations of power system\",\r\nIEEE Trans. Power Syst.,Vol. 17, No. 4, pp. 1140-1147, November\r\n2002.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 56, 2011"}