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作 者:薛井俊 夏方坤 张绿原 袁志波 谈震 李扬[1] XUE Jing-jun;XIA Fang-kun;ZHANG LÜ-yuan;YUAN Zhibo;TAN Zhen;LI Yang(Jiangdu Water Conservancy Project Management Office of Jiangsu Province,Yangzhou 225200,Jiangsu Province,China;NARI Group Corporation/State Grid Electric Power Research Institute,Nanjing 211000,Jiangsu Province,China)
机构地区:[1]江苏省江都水利工程管理处,江苏扬州225200 [2]南瑞集团(国网电力科学研究院)有限公司,江苏南京211000
出 处:《中国农村水利水电》2022年第12期133-136,共4页China Rural Water and Hydropower
基 金:江苏省水利科技项目(2019020);国电南瑞科技项目(5246C5190016)。
摘 要:针对感潮泵站供水模式下的调度需求,提出了一种实时优化策略。首先将泵组通用特性曲线转换为可插值的数据集,利用三维插值方法构建了泵组运行的数学模型,然后将优化时段离散处理,构建目标时段泵站运行的状态矩阵,最后将开机时长、开机台数、叶片角度限定在可行解集内,采用遗传算法求最优解。该策略支持优化时段的自由选取以及可行解集的自由定义,贴合工程运行调度的实际需求,算例表明,该方法求解快速,结果合理,能够满足感潮泵站实时优化调度的需求。In order to solve the problem of optimal operation for the tidal pumping station under the water supply mode,this paper proposes a real-time optimization strategy.First,the pump characteristic curves are converted into interpolable data sets,and a mathematical model of the pump is constructed by using a three-dimensional interpolation method.Then the optimization period is discretely processed to construct a state matrix,which expresses the operating conditions of the pumping station at the target period.Finally,the length of the operating period,the number of working pumps,and the blade angle are limited to the feasible solution set,and the genetic algorithm is used to find the optimal solution.The strategy supports the free selection of optimal time periods and the free definition of feasible solution sets,which fit the actual needs of engineering operation and scheduling.Calculation examples show that the method is fast,and the results are reasonable,which can meet the needs of tidal pumping stations’real-time optimal operation.
分 类 号:TV675[水利工程—水利水电工程]
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