Reduction of Real Power Loss by Hybrid - Genetic Algorithm and Hooke-Jeeves Method

In this paper, a new Hybrid - genetic algorithm and Hooke-Jeeves method (HGAHJ) is proposed for solving reactive power dispatch problem. Hooke-Jeeves method is fine at local search and our projected method spectacularly improves the precision and convergence rate of genetic algorithm. In view of the derivative-free of Hooke-Jeeves technique, our method only requires information of objective function value which not only can trounce the computational difficulties caused by the ill-condition of the square penalty function, but also can handle the non-differentiability by the accurate penalty function. The projected HGAHJ algorithm has been tested on standard IEEE 57 bus test system and simulation results show clearly the best performance of the proposed algorithm in dipping the active power loss.

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