电力系统保护与控制2011，Vol.39Issue(19)：63-68,6.
基于鲶鱼效应粒子群算法的梯级水库群优化调度
The optimal operation of cascade reservoirs based on catfish effect particle swarm optimization algorithm
摘要
Abstract
In the light of the characteristics of the optimal operation of cascade reservoirs, such as multi-restriction, multi-dimension, non-linearity and being difficult to slove, the catfish effect mechanism is introduced into the particle swarm optimization, named catfish effect particle swarm optimization. The arithmetic introduces catfish particles through the catfish generator in the evolution and adjusts the flying pattern of population swarm by using the catfish effect. On the one hand, the driven influence of catfish particles is used to force the swarm out of steady-state and inspire its vitality in order to improve the whole diversity; on the other hand, it takes the advantage of the high quality of dynamic adjustment of catfish to guide the optimization and hence keep remaining its high search function. Calculation results show that compared with the standard particle swarm optimization and the chaotic particle swarm optimization, the catfish effect particle swarm optimization has better global searching capability and faster convergence speed, which can be effectively applied to the optimal operation of cascade reservoirs.关键词
梯级水库群/优化调度/粒子群优化算法/鲶鱼效应/驱赶作用/动态调节Key words
cascade reservoirs/ optimal operation/ particle swarm optimization algorithm/ catfish effect/ driven influence/ dynamic adjustment分类
信息技术与安全科学引用本文复制引用
纪昌明,刘方,喻杉,张验科,赵璧奎..基于鲶鱼效应粒子群算法的梯级水库群优化调度[J].电力系统保护与控制,2011,39(19):63-68,6.基金项目
国家科技支撑计划项目(2006BAC05B03) （2006BAC05B03）
国家自然科学基金项目(40971300,50609007) （40971300,50609007）
