电力系统保护与控制2017，Vol.45Issue(15)：97-103,7.DOI:10.7667/PSPC161194
大规模电力系统经济调度的改进竞争群优化算法
Large scale power system economic dispatch based on an improved competitive swarm optimizer
摘要
Abstract
An improved competitive swarm optimizer (ICSO) is proposed for large scale power system economic dispatch.The CSO is fundamentally inspired by the particle swarm optimization (PSO).It is with advantages of simple principle,easy implementation,and strong search ability.Based on the analysis of the disadvantages of the CSO,an improved loser updating strategy and an adaptive adjusting strategy of control parameter are proposed to balance the local and the global researching abilities.Four cases are employed to comparatively demonstrate the ICSO's viability and effectiveness from different perspectives of economy,convergence,and robustness.Simulation results indicate that the ICSO is with better performance and can be used as a reliable method for large-scale ED.关键词
电力系统/大规模经济调度/阀点效应/竞争群优化算法Key words
power system/large scale economic dispatch/valve-point effect/competitive swarm optimizer引用本文复制引用
郭艳艳,熊国江..大规模电力系统经济调度的改进竞争群优化算法[J].电力系统保护与控制,2017,45(15):97-103,7.基金项目
湖北省教育科学规划2015年度立项课题(2015B257) （2015B257）
