水力发电学报2017，Vol.36Issue(6)：57-68,12.DOI:10.11660/slfdxb.20170607
基于并行混合差分进化算法的梯级水库群优化调度研究
Optimal operation of cascade reservoirs based on parallel hybrid differential evolution algorithm
摘要
Abstract
This paper presents a new parallel hybrid differential evolution (PHDE) algorithm for optimal scheduling of cascade reservoirs by combining a chaos algorithm (CA) and a shuffled leapfrog algorithm (SLFA) for their advantages in local search with parallel computation (PC) technique and using a basic framework of difference evolution (DE).PHDE is an organic fusion of DE,CA,SLFA and PC,i.e.conducting chaotic local search for better individuals and leapfrog local search for worse individuals,and its computation of DE,CA and SLFA is combined with PC so as to reduce running time.Therefore,this algorithm has three advantages:it reserves the simplicity and fast convergence of DE;it inherits the ergodicity from CA and SLFA so as to avoid premature convergence;it has a relative shorter computing time.The testing results of typical functions verified its better feasibility,efficiency and robustness.Case studies showed that it can achieve better optimization performance,thus offering an efficient tool for solving optimal operation model of cascade reservoirs.关键词
梯级水库群/优化调度/差分进化/混沌算法/蛙跳算法/并行计算Key words
cascade reservoirs/optimal scheduling/differential evolution algorithm/chaos algorithm/shuffled leapfrog algorithm/parallel computation分类
建筑与水利引用本文复制引用
邹强,鲁军,周超,周建中..基于并行混合差分进化算法的梯级水库群优化调度研究[J].水力发电学报,2017,36(6):57-68,12.基金项目
国家重点研发计划重点专项项目(2016YFC0402202) （2016YFC0402202）
