电力系统自动化2011，Vol.35Issue(22)：141-146,6.
基于混沌量子粒子群算法的含风电场电力系统实时调度
Real-time Dispatch in Wind Power Integrated System Based on Choas Quantum-behaved Particle Swarm Optimization
摘要
Abstract
A series of problems in the real-time dispatch of wind power integrated system are analyzed and a real-time dispatch method is proposed,fully considering energy saving and emission reduction,with dual goals of maximizing wind power and minimizing primary energy consumption.Based on the choas quantum-behaved particle swarm optimization algorithm,simulation results of the modified IEEE-118 node system show that the model can maximize wind power as well as minimize primary energy consumption,and the adoptive algorithm can meet the requirement of real-time,due to its fast computational speed and excellent convergence performance.关键词
混沌量子粒子群优化算法/风电场/实时调度/风电消纳Key words
choas quantum-behaved particle swarm optimization algorithm/wind farm/real-time dispatch/wind power accommodation分类
信息技术与安全科学引用本文复制引用
王魁,张步涵,周杨,李俊芳..基于混沌量子粒子群算法的含风电场电力系统实时调度[J].电力系统自动化,2011,35(22):141-146,6.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
国家自然科学基金重点项目（50837003）~~ （）
