Real-Coded Genetic Algorithm for Robust Power System Stabilizer Design
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335286Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1759
 P. Kundur, Power System Stability and Control. New York: McGraw- Hill, 1994.
 P. Kundur, M. Klein, G. J. Rogers, and M. S. Zywno, "Application of power system stabilizers for enhancement of overall system stability," IEEE Trans. Power Syst., vol. 4, pp. 614-626, 1989.
 M. A. Abido , "Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing" Electrical Power and Energy Systems ,vol-22 , pp 543-554, 2000.
 Y.L. Abdel-Magid, M.A. Abido, "Coordinated design of a PSS and a SVC-based controller to enhance power system stability. Electrical Power & Energy Syst, vol. 25, pp. 695-704, 2003.
 Y.L. Abdel-Magid and M.A.Abido, "Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithms, International Journal of Electrical Power & Energy Systems, vol. 69, no. 2-3, pp. 129-141. 2004.
 D.E.Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, 1989.
 SimPowerSystems 4.3 User-s Guide, Available:http://www.mathworks.com/products/simpower/
 M.Noroozian, G.Anderson, and K.Tomsovic, "Robust near-optimal control of power system oscillation with fuzzy logic", IEEE Trans. Power Del., Vol. 11, No. 1, pp. 393-400, January 1996.
 S.Mishra, P.K.Dash, P.K.Hota, and M.Tripathy, "Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system", IEEE Trans. Power Syst.,Vol. 17, No. 4, pp. 1140-1147, November 2002.