基于动态规划法的多泥沙水源泵站优化调度研究  

Study on optimal operation of pumping station with dense sediment water sources based on dynamic programming

作　　者：杨德明[1] 吴建华[1] 李雪转[2] 刘亚明[1] 高洁[1] 刘春烨 

机构地区：[1]太原理工大学水利科学与工程学院,山西太原030024 [2]山西水利职业技术学院水利工程系,山西运城044004

出　　处：《人民长江》2017年第7期96-99,共4页Yangtze River

基　　金：2015年山西省水利科学技术研究与推广项目"夹马口引黄取水泵站含沙特性下优化调度方式的数值模拟"(2015DSW3);2016年山西省国际合作项目"长距离输水管道进排气阀合理选型技术研究"(201603D421011);2016年山西省研究生教育创新项目"面向山西大水网复杂供水系统水利调度及控制技术优化研究"(2016SY021)

摘　　要：对多泥沙水源泵站的优化调度,主要以清水条件下算出的泵站稳态数据为基础,在一定的含沙率和下游所需流量下,运用泥沙公式求出泥沙水源条件下各种组合的水泵工作点;然后采用动态规划法,以抽取单位水量的耗能量最小作为目标函数,确定约束条件和递推方程,接着对模型求解,找出最优的开机组合。以某取水泵站为例进行了相关计算,计算结果表明:采用动态规划法,并运用相关的公式求出工作点;利用计算机语言,可以快速并准确地在满足条件下所有的水泵开机组合型式中寻找出最优的开机组合,以减少泵站的损耗,提高泵站的运行效率。借助于工程实例,对于含沙水流下泵站工作参数的推导、动态规划数学模型的建立以及调度目标函数的确定等过程进行了较为详细的介绍。To optimize the operation of pumping station with dense sediment water sources, based on the steady state data of pumping stations under the condition of clean water, the sediment formula was used to calculate the working point of the pumping station under the given sediment rate and flow needed by downstream. Then, with the minimum energy consumption for pumping unit water as the objective function, the constraint condition and the recurrence equation were determined with dynamic program- ming method. Finally, the model was solved to find out the optimal start - up combination. The method was applied to a pumping station with dense sediment water sources. The calculation results show that the dynamic programming method and the formula can obtain the working point. With computer language, the optimal start - up combination in all the combinations of water pumps that meet related conditions can be quickly and accurately find out, which can reduce the consumption of the pumping station with improved efficiency. The derivation of working parameters of the pumping station, the establishment of the mathematical model in dynamic programming and the identification of operational objective function are introduced in details.

关 键 词：动态规划法 耗能量 最优开机组合 多泥沙水源 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]