水力发电2018，Vol.44Issue(1)：90-93,113,5.
基于改进花粉算法的梯级水电站多目标优化
Improved Flower Pollination Algorithm for Multi-objective Optimization of Cascaded Hydropower Stations
摘要
Abstract
Because the power generation,flood control,safe operation of power grid and other targets need to be considered into the optimal scheduling of cascaded hydropower stations,the optimal scheduling of cascaded hydropower stations will be a high-dimensional,dynamic and nonlinear issue and is difficult to solve.In order to solve this problem,the search strategy of flower pollination algorithm is improved and the differential mutation operation is introduced to accelerate the convergence and increase the diversity of population.The improved flower pollination algorithm is used to solve the multi-objective optimization scheduling problem of cascade hydropower stations.The results show that the improved algorithm has fast convergence rate and high solution accuracy,and has certain advantages for solving multi-objective optimization problems of cascaded hydropower stations.关键词
梯级水电站/多目标优化/改进花粉算法/Levy飞行/差分变异操作Key words
cascaded hydropower station/multi-objective optimization/improved flower pollination algorithm/Levy flight/differential mutation operation分类
建筑与水利引用本文复制引用
江方利,湛洋,刘刚,黄炜斌,马光文..基于改进花粉算法的梯级水电站多目标优化[J].水力发电,2018,44(1):90-93,113,5.基金项目
国家重点研发计划(2016YFC0402208,2016YFC-0402205) （2016YFC0402208,2016YFC-0402205）
国家电网公司总部科技项目(SGSCDK00XTJS1700047) （SGSCDK00XTJS1700047）
中国清洁发展机制基金赠款项目(2013114) （2013114）
