Application of golden section based chaos particle swarm optimization algorithm in distribution network reactive power optimization

A mathematical model of reactive power in the distribution network optimal allocation is established, in which the least active power loss is taken as objective function and node voltage beyond limit and the generator reactive power output beyond limit as penalty function. Then the chaotic particle swarm optimization based on golden section (GCPSO) is designed to calculate the above model. This method divides the particle swarm into standard particle and chaos particle using the judge principles based on golden section according to the level of fitness. It solves the problems of easily falling into local optimum if using PSO and repeating searching part of the solution if using chaotic optimization. Using GCPSO can be more effective in searching the global optimal solution, and the speed of reactive power optimization can also be improved. The algorithm is thus more applicable to solving the problem. The simulation results show that the method is technically feasible and effective.