{"title":"Automatic Generation Control of Multi-Area Electric Energy Systems Using Modified GA","authors":"Gayadhar Panda, Sidhartha Panda, C. Ardil","volume":77,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":576,"pagesEnd":585,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/11183","abstract":"
A modified Genetic Algorithm (GA) based optimal selection of parameters for Automatic Generation Control (AGC) of multi-area electric energy systems is proposed in this paper. Simulations on multi-area reheat thermal system with and without consideration of nonlinearity like governor dead band followed by 1% step load perturbation is performed to exemplify the optimum parameter search. In this proposed method, a modified Genetic Algorithm is proposed where one point crossover with modification is employed. Positional dependency in respect of crossing site helps to maintain diversity of search point as well as exploitation of already known optimum value. This makes a trade-off between exploration and exploitation of search space to find global optimum in less number of generations. The proposed GA along with decomposition technique as developed has been used to obtain the optimum megawatt frequency control of multi-area electric energy systems. Time-domain simulations are conducted with trapezoidal integration along with decomposition technique. The superiority of the proposed method over existing one is verified from simulations and comparisons.<\/p>\r\n","references":"[1] J. Wood, B. F. Woolenberg, Power Generation Operation and Control,\r\nJohn Wiley and Sons, 1984.\r\n[2] O. l. Elgerd, Electric energy Systems Theory - An Introduction,\r\nMcGraw Hill Co., 2001.\r\n[3] J. Nanda and B. Kaul, \"Automatic generation control of an\r\ninterconnected power system\", IEE Proc., Vol. 125, no. 5, May 1978,\r\npp. 385-390.\r\n[4] O. I. Elgerd and C. E. Fosha, ., \"Optimum megawatt-frequency control\r\nof multi-area electric energy systems\", IEEE Trans. On PAS, vol. PAS-\r\n89, no. 4, April 1970, pp. 556-563.\r\n[5] M. Aldden and H. Trinh, \"Load frequency control of interconnected\r\npower systems via constrained feedback control schemes\", Computer\r\nand Electrical Engineering, Vol. 20, no. 1, 1994, pp. 71-88.\r\n[6] H.J. Kunish, K.G. Kramer and H. D. Dominik, \"Battery energy storage -\r\nAnother option for load-frequency control and instantaneous reserve\",\r\nIEEE Trans. Energy Convers., vol. EC-1, no. 3, Sept. 1986, pp. 46-51.\r\n[7] S. Banerjee, J.K. Chatterjee and S.C. Tripathy, \"Application of magnetic\r\nenergy storage unit as load frequency stabilizer\", IEEE Trans. Energy\r\nConvers., vol. 5, no. 1, March 1990, pp. 46-51.\r\n[8] Y.L. Karnavas and D.P. Papadopoulos,\"AGC for autonomous power\r\nsystem using combined intelligent techniques\", Electric Power System\r\nResearch, 62 (2002), 225-239.\r\n[9] Y.L. Abdel-Magid and M.M. Dawound, \"Optimal AGC tuning with\r\ngenetic algorithms\", Electric Power System Research, 38 (1997), 231-\r\n238.\r\n[10] S.K. Aditya and D. Das, \"Design of load frequency controllers using\r\ngenetic algorithm for two-area interconnected hydro power system\",\r\nElect. Power Compon. Syst., vol. 31, no. 1, Jan. 2003, pp. 81-94.\r\n[11] Z. M. Al-Hamouz, and H. N. Al-Dowaish, \"A New Load Frequency\r\nVariable Structure Controller using Genetic Algorithms\", Elect. Power\r\nSyst. Res., vol. 55, no. 1, July 2000, pp. 1-6.\r\n[12] D. Rerkpreedapong, A. Hasanovic and A. Feliachi, \"Robust Load\r\nFrequency Control using Genetic Algorithms and Linear Matrix\r\nInequalities\", IEEE Trans. Power Syst., vol. 18, no. 2, May 2003, pp.\r\n855-861.\r\n[13] A.M. Panda, \"Automatic generation control of multi area interconnected\r\npower system considering nonlinearity due to governor deadband\",\r\nArchives of control sciences, Vol. 7(XLIII), no. 3-4, March 1998, pp.\r\n285-299.\r\n[14] W. Chan and Y. Hsu, \"Optimal control of power generation using\r\nvariable structure controllers\", Elect. Power Syst. Res.\", vol. 6, 1983, pp.\r\n269-276.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 77, 2013"}