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

作　　者：王干一[1] 

机构地区：[1]郑州轻工业学院,河南郑州450002

出　　处：《人民黄河》2013年第12期125-126,130,共3页Yellow River

基　　金：国家自然科学基金资助项目(60773122)

摘　　要：基于粒子群算法,考虑梯级水电站之间水能、水量、出力之间的约束和联系,以及影响梯级电站水能计算的发电效率、水头、发电流量等因素,对某梯级水电站水能进行了优化计算。结果表明:非统一调节单级优化时的发电量比设计年均发电量大35.62亿kW·h,统一调节梯级优化时的发电量比设计年均发电量大97.84亿kW·h;离开了上游调节能力强的水库调节,下游水电站的水能损失较大。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 

分 类 号：TV72[水利工程—水利水电工程]