人民黄河
人民黃河
인민황하
Yellow River
2013年
12期
125-126,130
,共3页
梯级水电站%粒子群算法%水能计算%发电出力
梯級水電站%粒子群算法%水能計算%髮電齣力
제급수전참%입자군산법%수능계산%발전출력
cascade hydropower station%particle swarm optimization%water power computing%power output
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。
基于粒子群算法，攷慮梯級水電站之間水能、水量、齣力之間的約束和聯繫，以及影響梯級電站水能計算的髮電效率、水頭、髮電流量等因素，對某梯級水電站水能進行瞭優化計算。結果錶明：非統一調節單級優化時的髮電量比設計年均髮電量大35．62億kW·h，統一調節梯級優化時的髮電量比設計年均髮電量大97．84億kW·h；離開瞭上遊調節能力彊的水庫調節，下遊水電站的水能損失較大。
기우입자군산법，고필제급수전참지간수능、수량、출력지간적약속화련계，이급영향제급전참수능계산적발전효솔、수두、발전류량등인소，대모제급수전참수능진행료우화계산。결과표명：비통일조절단급우화시적발전량비설계년균발전량대35．62억kW·h，통일조절제급우화시적발전량비설계년균발전량대97．84억kW·h；리개료상유조절능력강적수고조절，하유수전참적수능손실교대。
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.
