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{"references": ["J.C. Carlisle A.A. El-Keib, \"A Review of Capacitor Placement\nTechniques on Distribution Feeders\", IEEE System Theory, Proceedings\nof the Twenty-Ninth Southeastern Symposium on Volume , pp.:359 -\n365, 1997", "Augugliaro, L. Dusonchet, M.G. Ippolito, E. Riva\nSanseverino,\"Multiobjective design of distributed reactive power\nproduction in a deregulated electric market\" Electrical Power and Energy\nsystems.27.pp.205-214. 2005.", "Delfanti, M.; Granelli, G.P.; Marannino, P.; Montagna, M. \"Optimal\nCapacitor Placement Using Deterministic and Genetic Algorithms \":\nIEEE Transactions on Power systems, Vol. 15, NO. 3, August 2000,\nPage(s):1041 - 1046", "Al-Mohammed , A.H.H.; Elamin, \"Capacitor Placement In Distribution\nSystems Using Artificial Intelligent Techniques\": Power Tech\nConference Proceedings,2003 IEEE Bologna Volume 4, Issue,June 2003\nPage(s): 23-26", "Ying-Tung Hsiao, Chia-Hong Chen, Cheng-Chih Chien, \"Optimal\ncapacitor placement in distribution systems using a combination fuzzy-\nGA method \"Elsevier Electrical Power and Energy Systems\n26(2004)Page(s): 501-508", "Santos, J.R.; Exposito, A.G.; Ramos, J.L.M. , \"A Reduced-Size Genetic\nAlgorithm for Optimal Capacitor Placement on Distribution Feeders \" :\nElectrotechnical Conference,2004.MELECON 2004.Proceedings of the\n12th IEEE Mediterranean, Volume 3, Issue , 12-15 May 2004 Page(s):\n963 - 966", "N.hakimfar,R.hooshmand,S.S.mortazavie,optimal loacation and size of\ncapacitors with genetic algorithm in distribution networks, Iran 13th\nElectrical power distribution conference."]}
In this paper optimal capacitor placement problem has been formulated in a restructured distribution network. In this scenario the distribution network operator can consider reactive energy also as a service that can be sold to transmission system. Thus search for optimal location, size and number of capacitor banks with the objective of loss reduction, maximum income from selling reactive energy to transmission system and return on investment for capacitors, has been performed. Results is influenced with economic value of reactive energy, therefore problem has been solved for various amounts of it. The implemented optimization technique is genetic algorithm. For any value of reactive power economic value, when reverse of investment index increase and change from zero or negative values to positive values, the threshold value of selling reactive power has been obtained. This increasing price of economic parameter is reasonable until the network losses is less than loss before compensation.
deregulated electric market, capacitor placement, distribution network optimization.
deregulated electric market, capacitor placement, distribution network optimization.
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