Reactive Power Optimization and Voltage Control Using a Multi-Objective Adaptive Particle Swarm Optimization Algorithm

摘要：

This paper presents a multi-objective adaptive particle swarm optimization algorithm (MOAPSO) for reactive power optimization and voltage control,which reduces power system losses by adjusting the reactive power variables such as generator voltages,transformer tap-settings and other sources of reactive power such as capacitor banks and provides better system voltage control. To avoid the drawback of premature convergence of PSO,an adaptive strategy is introduced in PSO. During evolution process,the crucial parameter,which is inertia weight,is adjusted adaptively in order to get the optimal global solution. The IEEE standard 30 bus system was used as test systems to demonstrate the applicability and efficiency of the proposed method.

关键词： Reactive Power Optimization Particle Swarm Optimization Adaptive Strategy Voltage Control

作者: Shicheng Liu Jianhua Zhang Zongqi Liu Haiqing Wang

作者单位: Transmission and Distribution System Research Institute,North China Electric Power University,Beijin Institute of Industrial Process Control,Zhejiang University,Hangzhou,310027,China

会议类型: 国际会议

会议名称: 2010年中国国际供电会议(CICED 2010)

会议地点: 南京

会议语种:英文

页码: 1398-1404

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）