A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options

Authors : P S MANOHARAN, P S KANNAN, V RAMANATHAN

Pages : 1-19

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This paper presents a novel approach to multi-area economic dispatch problems with multiple fuel options using a hybrid evolutionary programming method. The objective is to minimize the operation cost of the entire system while satisfying the tie line constraints. In this paper, EP-LMO insert ignore into journalissuearticles values(Evolutionary Programming with Levenberg-Marquardt Optimization); technique is proposed to solve multi-area economic dispatch problems with multiple fuel options. The EP-LMO is developed in such a way that a simple evolutionary programming insert ignore into journalissuearticles values(EP); is applied as a base level search to find the direction of the optimal global region. And Levenberg-Marquardt Optimization insert ignore into journalissuearticles values(LMO); method is used as a fine tuning to determine the optimal solution. The applicability and validity of the proposed approach on multi-area economic dispatch problems are presented in two parts. In Part I, two multi-area bench mark problems without fuel options are considered. In Part II, 10 unit system with both multi-area and multi-fuel options is considered. The proposed approach is compared with the results of Incremental Network Flow Programming, Spatial Dynamic Programming and Evolutionary Programming approaches. The results show that the EP-LMO gives the optimum generation cost than any other methods.
Keywords : Economic Dispatch, Multi area, Multiple fuel options, Evolutionary programming, Levenberg Marquardt Optimization