人民黄河Issue(12)：125-126,130,3.DOI:10.3969/j.issn.1000-1379.2013.12.041
基于粒子群算法的梯级水电站水能优化计算
Optimization Computation of Water Power of Cascade Hydropower Stations Based on Particle Swarm Algorithm
摘要
Abstract
Based on the PSO algorithm,considering the influences of hydropower,runoff,energy output and associated factors,power generation efficiency,head,power flow etc. between cascade hydropower stations,water computation were optimized for a cascaded hydropower station. The results show that:with no unified regulation,only for each hydropower station is optimized,the optimized energy output will be 3. 562 billion kW·h more than the average annual energy output;with unified regulation,the optimized energy output will be 9. 784 billion kW·h more than the average annual energy output;it means that with no unified regulation of upstream serial-connected reservoirs,the loss of water energy of down-stream hydropower stations is greater.关键词
梯级水电站/粒子群算法/水能计算/发电出力Key words
cascade hydropower station/particle swarm optimization/water power computing/power output分类
建筑与水利引用本文复制引用
王干一..基于粒子群算法的梯级水电站水能优化计算[J].人民黄河,2013,(12):125-126,130,3.基金项目
国家自然科学基金资助项目（60773122）。 （）
