SOLUTION OF ECONOMIC DISPATCH PROBLEM USING EVOLUTIONARY PROGRAMMING TECHNIQUES | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Article 55, Volume 12, ASAT Conference, 29-31 May 2007, May 2007, Page 1-10 PDF (85.39 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asat.2007.23974 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| F. M. Bendary; A. A. Ishak; M. I. Mosaad | ||||
| Abstract | ||||
| This paper presents a comparison between various methods used to solve economic dispatch (ED) problem. These methods are heuristic methods such as Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm. Comparisons between these heuristic methods and conventional methods such as Interior Point method (IPM) are introduced. The objective function that consists of the fuel (generation) cost is minimized. Numerical examples typical to each method are presented. The solutions method adopted has yielded encouraging results that proved useful in the improvement of economic dispatch environment. | ||||
| Keywords | ||||
| Economic dispatch; Genetic Algorithms; Particle Swarm Optimization; and interior point method | ||||
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