Reactive Power Optimization of Power System based on Improved Particle Swarm Optimization

摘要：

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.

关键词： Power System:Reactive Power Optimization Artificial Intelligence Algorithms Particle Swarm Optimization

作者: Hao Wang Huilan Jiang Ke Xu Guodong Li

作者单位: Key Laboratory of Power System Simulation and Control of Ministry of Education Tianjin University Ti Tianjin Electric Power Corporation Technology Center,Tianjin 300384,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 606-609

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）