温州电网梯级水电站优化调度实践  

Practice of dispatching optimization for cascade hydropower stations in Wenzhou Power Grid

作　　者：郑晓丹[1] 罗云霞[1] 周慕逊[2] 李万军 

机构地区：[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]温州电业局,浙江温州325000

出　　处：《华东电力》2008年第9期108-110,共3页East China Electric Power

基　　金：浙江省自然科学基金项目(Y505360)

摘　　要：建立由温州电网属下的梯级水电站群优化调度的数学模型,采用基于浮点数编码的改进遗传算法对该模型进行了优化计算,该算法设计编程简单,计算量小,收敛速度快。利用三插溪水库的入库径流实测值进行了仿真实验,实验结果表明优化调度比常规调度经济效益超过5%,说明了遗传算法用于梯级水电站群优化调度既可行又有效。The mathematic model of dispatching optimization for cascade hydropower stations in Wenzhou Power Grid was established,which was then solved by improved genetic algorithm（GA） based on float-encoding.The Sanchaxi reservoir inflow data were used for simulation experiment and the results indicate that the economic benefits of optimized dispatching are 5% higher than that of the conventional dispatching,proving the feasibility and effectiveness of GA applied to dispatching optimization for cascade hydropower stations.

关 键 词：梯级水电站 优化调度 遗传算法 

分 类 号：TM612[电气工程—电力系统及自动化]