Combining Strategy of Genetic Algorithm and Particle Swarm Algorithm for Reactive Power Optimization

摘要

This paper is involved in reactive power optimization. The combining strategy of genetic algorithm and particle swarm algorithm is proposed for the optimization problem of reactive power in this paper. It is necessary that the initial individuals are feasible ones, and good individuals are chosen as the initial particles in the combining strategy. The numerical examples of IEEE-6 and IEEE-30 power systems for the combining strategy are performed for the reactive power optimization. The effectiveness of the combining strategy proposed in this paper has been demonstrated preliminarily from the examples.