Simulation Research on Decomposition-Based intelligent optimization algorithm in Power System Reactive Power Optimization

摘要：

　　Reactive power optimization falls into the category of multi-objective optimization. The simulation model of multi-objective reactive power optimization is built on the basis of the conventional reactive power optimization model in this paper, wherein the objective function is consisted of minimum active power losses and minimum reactive power compensation cost. The multi-objective reactive power optimization model is built via following MOEAD algorithm. The simulation results prove that the multi-objective reactive power optimization based on MOEAD could reduce the system active power loss and reactive power compensation cost in fast and effective fashion.

关键词： MOEAD reactive power optimization power system multi-objective optimization

作者: Kang Jian Jia Dehai Ning Lianhui Zhang Haifeng Zheng Bo

作者单位: Xian Power Supply Company,Shaanxi Electric Power Corporation,SGCC,Xian 710032,China;Xian Jiaotong State Grid East Inner Mongolia Material Supply Company,Hohhot 010020,China Xian Jiaotong University,Xian 710049,China Henan Jinying Electric Power Design Engineering Co.Ltd,Zhengzhou 450001,China Yangquan Power Supply Company,Shanxi Electric Power Corporation,SGCC,Yangquan 045028,China

会议类型: 国际会议

会议名称: 2016中国国际供电会议(CICED2016)

会议地点: 西安

会议语种:英文

页码: 1-5

在线出版日期: 2016-09-01（万方平台首次上网日期，不代表论文的发表时间）