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基于遗传算法的梯级小水电优化运行研究
引用本文:罗云霞,周慕逊,曹建. 基于遗传算法的梯级小水电优化运行研究[J]. 华东电力, 2003, 31(7): 19-21
作者姓名:罗云霞  周慕逊  曹建
作者单位:1. 浙江水利水电专科学校,浙江,杭州,310016
2. 浙江工业大学,浙江,杭州,310014
3. 安地电站,浙江,金华,321052
基金项目:浙江省教育厅科研基金资助项目 ( 2 0 0 10 3 2 3 )
摘    要:优化调度是一个典型的多阶段决策过程 ,其目的是以梯级电站在调度周期内发电量最大为目标 ,在保证大坝安全的前提下确定水库的最优放水决策。介绍采用浮点数编码的遗传算法对浙江安地水库梯级电站进行优化计算 ,通过和常规调度结果比较 ,说明了该算法的有效性及优化运行的优越性

关 键 词:梯级电站  优化运行  遗传算法
文章编号:1001-9529(2003)07-0019-03
修稿时间:2003-05-14

Study of optimal operation of small cascade hydropower station based on genetic algorithm
LUO Yun xia ,ZHOU Mu xun ,CAO Jian. Study of optimal operation of small cascade hydropower station based on genetic algorithm[J]. East China Electric Power, 2003, 31(7): 19-21
Authors:LUO Yun xia   ZHOU Mu xun   CAO Jian
Affiliation:LUO Yun xia 1,ZHOU Mu xun 2,CAO Jian 3
Abstract:Optimal dispatching is a typical multi stage policy making process with the aim of achieving maximum generating capacity during dispatching period by the cascade hydropower stations and determining the optimal water discharge while guaranteeing the security of the dam. The optimization calculation was carried out with the cascade hydropower stations using genetic algorithm based on float coding. The effectiveness of the algorithm and the advantage of the optimal operation were revealed through comparison with the result of traditional dispatching.
Keywords:cascade hydropower station  optimal operation  genetic algorithm  
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