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M市供水泵站优化调度模型及应用
引用本文:王彤,杨军.M市供水泵站优化调度模型及应用[J].水电能源科学,2019,37(7):141-145.
作者姓名:王彤  杨军
作者单位:长安大学建筑工程学院
基金项目:国家水体污染与治理科技重大专项(2014ZX07406-003)
摘    要:为降低城市供水泵站能耗、提高企业效益,以泵站运行费用最低为目标函数,建立泵站优化调度模型,使用遗传算法求解最优的水泵运行组合,在满足供水量与供水压力的前提下,使水泵均运行在高效段内,减少了能量浪费,并以M市供水系统为例测试了泵站优化调度模型,利用泵站优化调度程序优化了A、B水厂泵站的运行情况,并对比优化能耗与原运行状况的实际能耗。结果表明,A水厂节能效果不明显,B水厂节约能耗约为27.08%,两座水厂的总能耗低于优化前的能耗,节能约14.02%。泵站优化调度理论及其优化方案可在减少供水企业运营成本、提升供水企业服务和管理水平、改善管网水力条件等各方面发挥重要作用。

关 键 词:城市供水  遗传算法  供水泵站  优化调度

Study on Optimal Dispatching of Water Supply Pumping Stations in M City
WANG Tong,YANG Jun.Study on Optimal Dispatching of Water Supply Pumping Stations in M City[J].International Journal Hydroelectric Energy,2019,37(7):141-145.
Authors:WANG Tong  YANG Jun
Affiliation:(School of Architecture and Engineering, Chang'an University, Xi'an 710064, China)
Abstract:In order to reduce the energy consumption of urban water supply pumping stations and improve the efficiency of enterprises, a genetic algorithm was used to solve the optimal pump operation combination by taking the lowest operating cost as the objective function. Taking the water supply system of M city as an example, the optimal dispatching model of pumping station was tested. The optimal dispatching program of pumping station was used to optimize the operation of pumping station in A and B waterworks. The optimized energy consumption was compared with the actual energy consumption of the original operation. The results show that the energy saving effect of A waterworks is not obvious, and that of B waterworks is about 27. 08%, the total energy consumption of two water plants is lower than the energy consumption before optimization, and the energy saving is about 14.02%. Pump station optimal dispatching theory and its optimization scheme can play an important role in reducing the operation cost of water supply enterprises, raising the service and management level of water supply enterprises, and improving the hydraulic conditions of pipe network.
Keywords:urban water supply  genetic algorithm  water supply pumping station  optimal operation
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