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基于改进遗传算法的串联小水电群优化调度
引用本文:罗云霞,周慕逊,江振东,陈永宝.基于改进遗传算法的串联小水电群优化调度[J].水电自动化与大坝监测,2004,28(3):66-69.
作者姓名:罗云霞  周慕逊  江振东  陈永宝
作者单位:1. 浙江水利水电专科学校,浙江省,杭州市,310016
2. 浙江工业大学,浙江省,杭州市,310014
3. 沙畈水库管理处,浙江省,金华市,321061
4. 金兰水库管理处,浙江省,金华市,321061
基金项目:浙江省教育厅基金(20010323)
摘    要:建立了由沙畈水库和金兰水库组成的串联小水电群优化调度的数学模型,采用了改进遗传算法对该模型进行优化计算。算法设计编程简单、计算工作量小、收敛速度快。利用两个水库的入库径流实测值进行了仿真实验,结果说明优化调度能比常规调度取得更大的经济效益,同时也说明了遗传算法是求解小水电群优化调度的可行而有效的方法。

关 键 词:串联小水电群  优化调度  遗传算法
修稿时间:2003年6月30日

OPTIMAL OPERATION OF SERIES SMALL HYDROPOWER STATIONS BASED ON IMPROVED GENETIC ALGORITHM
Luo Yunxia,Zhou Muxun,Jiang Zhendong,Chen Yongbao Zhejiang College of Water Conservancy and Hydropower,Hangzhou ,China Zhejiang University of Technology,Hangzhou ,China Shafan Reservoir Management.OPTIMAL OPERATION OF SERIES SMALL HYDROPOWER STATIONS BASED ON IMPROVED GENETIC ALGORITHM[J].HYDROPOWER AUTOMATION AND DAM MONITORING,2004,28(3):66-69.
Authors:Luo Yunxia  Zhou Muxun  Jiang Zhendong  Chen Yongbao Zhejiang College of Water Conservancy and Hydropower  Hangzhou  China Zhejiang University of Technology  Hangzhou  China Shafan Reservoir Management
Affiliation:Luo Yunxia,Zhou Muxun,Jiang Zhendong,Chen Yongbao Zhejiang College of Water Conservancy and Hydropower,Hangzhou 310016,China Zhejiang University of Technology,Hangzhou 310014,China Shafan Reservoir Management Department,Jinhua 321061,China Jinlan Reservoir Management Department,Jinhua 321061,China
Abstract:A mathematical model of optimal operation of series small hydropower stations in Shafan and Jinlan is formed, and an improved genetic algorithm is adopted for optimal calculation. The algorithm is simple, the workload of calculation is small and the speed of convergence is fast. Based on the measured inflow of two small reservoirs, a simulation is done, which proves that optimal operation can produce much more economic benefit than routine operation, and GA is much more viable and efficient.
Keywords:series small hydropower sations  optimal operation  genetic algorithm
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