Abstract
This paper presents the solution of economic load dispatch problem using quadratic cost functions with valve point effect by means of Genetic Algorithm (GA). GA technique is particularly useful for optimization problems with non-convex, discontinuous and non-differentiable solution. In this paper, three methods of GA are used: namely the Micro Genetic Algorithm (MGA), Classical Genetic Algorithm (GA) and Multipopulation (MPGA). The three methods were tested and validated on the Nigerian Grid system made of four thermal power plants and three hydro power stations. The simulation results with and without losses considered are compared. It is shown that the MPGA gives better results in term of minimized production cost than both MGA and GA. However, the MGA is faster in finding a quick feasible solution as a result of its small population size. The results demonstrate the applicability of the three techniques for solving economic load dispatch problem in power system operations.
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Olakunle, A.O., Folly , K.A. (2015). Economic Load Dispatch of Power System Using Genetic Algorithm with Valve Point Effect. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9140. Springer, Cham. https://doi.org/10.1007/978-3-319-20466-6_30
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DOI: https://doi.org/10.1007/978-3-319-20466-6_30
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