Reactive power optimization of power system based on improved particle swarm optimization

Reactive power optimization is a nonlinear, multivariable, multi-constrained programming problem, which makes the optimization process complicated. In this paper, based on the characteristics of reactive power optimization, a mathematical model of reactive power optimization, including comprehensive consideration of the practical constraints and reactive power regulation means for optimization, is established. Also particle swarm optimization (PSO) has been studied, and the method based on improved particle swarm optimization for reactive power is going to be taken in this paper. Optimization for the IEEE 14-bus system proves that the improved PSO algorithm used in this paper for reactive power optimization is effective. The algorithm is simple, convergent and of high quality for optimization, and thus suitable for solving reactive power optimization problems, with some application prospect.