基于FO-DP算法的宝兴河梯级水电站短期优化调度研究  被引量:1

Study on Short-term Optimal Scheduling of Cascaded Hydropower Station on Baoxing River Based on FO-DP Algorithm

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作  者:龙海山[1] 黄炜斌[2] 李荣[3] 

机构地区:[1]四川华能宝兴河电力股份有限公司,四川雅安625000 [2]四川大学水电学院,成都610065 [3]四川川投田湾河开发有限责任公司,成都610015

出  处:《华东电力》2010年第12期1942-1945,共4页East China Electric Power

基  金:国家自然科学基金资助项目(50679098);国家科技支撑计划(2008BAB29B09)~~

摘  要:考虑到短期优化调度中电网限定了峰平谷段出力比,将目前较成熟的动态规划算法作了改进,选用梯级发电总收入最大为目标建立了数学模型,并用FO-DP算法寻求出宝兴河梯级水电站短期最优运行方式。计算结果表明,该方法能够较好的解决短期优化调度问题,具有一定的实用价值。Considering the fact that the output ratio of peak and normal and valley time in short-term optimal scheduling is limited by the power grid,the mature dynamic programming algorithm was improved and was thus applied to establish the mathematical model by taking the maximizing income as the objective function.The short-term optimal operation mode of cascaded hydropower stations on Baoxing River was found based on the FO-DP algorithm.The result showed that the method could effectively solve the problem of short-term optimal scheduling and have some practical value.

关 键 词:短期优化调度 宝兴河 FO-DP算法 梯级水电站 

分 类 号:TV679.12[水利工程—水利水电工程]

 

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