{"title":"Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search","authors":"J. Kluabwang","volume":65,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":477,"pagesEnd":480,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/2044","abstract":"An economic operation scheduling problem of a\nhydro-thermal power generation system has been properly solved by\nthe proposed multipath adaptive tabu search algorithm (MATS). Four\nreservoirs with their own hydro plants and another one thermal plant\nare integrated to be a studied system used to formulate the objective\nfunction under complicated constraints, eg water managements,\npower balance and thermal generator limits. MATS with four subsearch\nunits (ATSs) and two stages of discarding mechanism (DM),\nhas been setting and trying to solve the problem through 25 trials\nunder function evaluation criterion. It is shown that MATS can\nprovide superior results with respect to single ATS and other\nprevious methods, genetic algorithms (GA) and differential evolution\n(DE).","references":"[1] M.E. El-Hawary and G.S. Christensen, Optimal Economic Operation of\nElectric Power Systems. Academic press, New York, 1979.\n[2] S.O. Orero and M.R. Irving, \"A genetic algorithm modeling framework\nand solution technique for short term optimal hydrothermal scheduling,\"\nIEEE Trans. Power Systems, vol. 13, pp. 501-517, May 1998.\n[3] F. Glover, \"Tabu search-part I\", ORSA Journal on Computing, vol. 1,\nno. 3, pp.190-206, 1989.\n[4] S. Sujitjorn, T. Kulworawanichpong, D. Puangdownreong and K.-N.\nAreerak, \"Adaptive tabu search and applications in engineering design,\"\nin Frontiers in Artificial Intelligent and Applications, vol. 149, X.-F. Zha\nand R.J. Howlett, Ed. Amsterdam, IOS Press, 2006, pp.233-257.\n[5] J. Kluabwang, D. Puangdownreong and S. Suijtjorn, \" Multipath\nadaptive tabu search for a vehicle control problem,\" Journal of Applied\nMathematics, vol. 2012, id.731623, pp.1-20, Feb. 2012.\n[6] URL: http:\/\/ http:\/\/cec2011.org\/competitions.html\n[7] S. Elsayed, R. Sarker and D. Essam, \"GA with a new multi-parent\ncrossover for solving IEEE-CEC2011 competition problem,\" in 2011\nIEEE Congress on Evolutionary Computation, pp. 1034-1040.\n[8] S. Elsayed, R. Sarker and D. Essam, \"Differential evolution with\nmultiple strategies for solving CEC2011 real-world numerical\noptimization problems,\" in 2011 IEEE Congress on Evolutionary\nComputation, pp. 1041-1048.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 65, 2012"}