Complementarity Problem Approach to Economic Power Dispatch of Nigeria Power System
Abstract
In this paper, a complementarity problem approach is used to solve the Economic Power Dispatch Problem of Nigeria Power System. Many approaches have been presented for solving Economic Power Discharge Problem; these approaches range from classical methods to more intelligen-based approaches. However, despite significant results of these methods, certain lmitations reduce their peformances and their suitability for online computation problems. In general, the optimization problem is formulated as Linear Complementarity Problem (LCP) when it is assumed that there is no transmission loss, and Nonlinear Complementarity Problem (NCP) if the transmission losses are included in the power balance equation. In this work, evolutionary programing, fast genetic algorithm, pattern search and hybrid self- adaptive differential evolution methods were also used to solve this problem. The simulation results indicate that the complementarity approach yields a cost value of N233.023 as compared to N233.624 and N233.956 given by evolutionary programming and fast genetic algorithm respectively for the Nigerian power system. The presented approach is more compact and offers superior speed of computation as compared to the evolutionary programming and fast genetic algorithm respectively.
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