A Novel Optimization Algorithm for Optimal Reactive Power Dispatch: A Comparative Study

摘要：

Optimal reactive power dispatch (ORPD) is a key instrument to achieve secure and economic operation of power systems.Due to complex characteristics of ORPD,heuristic optimization has become an effective solver.A novel heuristic optimization algorithm namely the Mean-Variance Mapping Optimization (MVMO) is proposed to handle the ORPD problem.The concept,mechanism and implementation of MVMO are discussed in this paper.Based on the IEEE 57-and 118-bus systems,MVMO is compared with some basic and enhanced evolutionary algorithms.Simulation results show that MVMO is an excellent algorithm for ORPD and should deserve more attention.The superiority to the other algorithms is very pronounced in the IEEE 118-test case.

关键词： component:Reactive power dispatch:Mean-Variance Mapping Optimization:Heuristic optimization

作者: Worawat Nakawiro István Erlich José Luis Rueda

作者单位: Institute of Electric Power Systems (EAN)University of Duisburg-Essen Duisburg,Germany Institute of Electric Power Systems (EAN) University of Duisburg-Essen Duisburg,Germany

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: 1555-1561

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）