Weak Voltage Area Recovery Based on a Hybrid Strategy Algorithm

摘要：

Base on the characteristics of discrete particle swarm optimization algorithm (DPSO) and interior point method (IPM),a hybrid strategy algorithm (HSA) for the weak voltage areas recovery problem is proposed.Take the sensitivity analysis results and the minimum network loss rate as the objective function,considering constraint function,then according to the different nature of the optimization variables,the original problem is decomposed into a continuous optimization subproblem and a discrete optimization sub-problem,which are solved by interior point method and discrete particle swarm algorithm respectively. By solving the two sub-problems alternately，IPM and DPSO take advantage of each other,to ensure the efficiency of the integrated optimization,and make the optimization process reflect situation more realistic in power system.The HSA applied for weak voltage areas recovery is evaluated on an IEEE 30-bus power system,simulation results proved its correctness and effectiveness.

关键词： voltage stability:sensitivity index:weak voltage area recovery:interior point method voltage:discrete particle swarm algorithm

作者: Li Ran Sheng Si-qing

作者单位: Department of Electrical Engineering North China Electric Power University Baoding,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: 1412-1416

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）