APPLICATION OF PSEUDO-PARALLEL GENETIC ALGORITHM IN REACTIVE POWER OPTIMIZATION

To avoid premature of conclusion simple genetic algorithm and to accelerate the calculation, the thinking of parallel genetic algorithm is applied to reactive power optimization and the decomposition theory of singular values of matrixes is used. the static voltage stability is considered as an objective function in reactive optimization and a pseudo-parallel genetic algorithm is proposed to find the global optimal solutions of the reactive power optimization problem. Two simple test systems, WardHale 6-bus system and IEEE 14-bus system, are employed to verify the effectiveness of the proposed model and algorithm. Simulation results show that both the proposed model and algorithm are reasonable and feasible.