Reactive Power Optimization Of Power System Based On Particle Swarm Optimization Algorithm

Power system voltage and reactive power control is an effective measure to keep power system safety and economic,and an important method to improve voltage equality.The purpose of reactive power optimization is to determine the optimal control strategy and optimize sizes and locations of Var sources,so that the security and economic operation of power systems can be maintained.Reactive power optimization in power system is a mixed nonlinear optimization problem with many variables and constraints,the operating variables include continuous and discrete variables,so the optimization becomes very complicated.In this paper,the particle swarm optimization algorithm is taken to solve this problem.The computational flow of PSO technique also has been described in this thesis,and the selection and modification of the concerned parameters has been discussed.The proposed approach utilizes the global and local exploration capabilities of PSO to search for the optimal settings of the control variables including the continuous and discrete variables.The process also shows its characters of parallel computing and robustness.In this thesis PSO has been examined and tested on the standard IEEE30,57 bussystems,and electric network in Gao-yi of Shi Jia-zhuang.The results are fairly satisfactory,and also confirm the potential of PSO and show its effectiveness,robustness and superiority...