An Improved Particle Swarm Optimization Algorithm and Its Application in Reactive Power Optimization of Power System

摘要

Several improvements about basic particle swarm optimization (PSO) algorithm has been presented. In the improved particle swarm optimization (IPSO) algorithm, the particles are initialized with chaos optimization method in its sub-area, whichreduces the influence caused by the particle's initial position. The tentative behavior is introduced in IPSO, which makes it more practical. Three criterions have been given to judge whether the population is trapped into local optimum. When it happens, Cauchy mutation operation was performed to help particles escape from the local optimum trap. In these ways, the opportunities to find the global optimum by PSO are increased. At last, the method adopting IPSO algorithm to solve the reactive power optimization (RPO) problem is given. The numeric simulation for IEEE 6-bus system shows that IPSO algorithm is feasible to solve RPO problem.