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作 者:徐得潜[1] 李俊 曹辉 XU De-qian;LI Jun;CAO Hui(School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China;Wuhu Hong Kong&China Water Co.Ltd.,Wuhu 241000,China)
机构地区:[1]合肥工业大学土木与水利工程学院,安徽合肥230009 [2]芜湖华衍水务有限公司,安徽芜湖241000
出 处:《中国给水排水》2019年第21期62-68,共7页China Water & Wastewater
摘 要:针对一级、二级泵站的工作特性,综合考虑峰谷分时电价和清水池的调节作用对一级、二级泵站日运行总电费的影响,以一级、二级泵站日运行总电费最小和水泵机组启停次数最少为双目标,以日供水流量、一级泵站供水能力、清水池水位等为约束条件,建立一级、二级泵站与清水池分级优化调度模型,并分别采用动态规划方法、遗传算法求解模型,制定了一级、二级泵站的优化调度运行方案。实例计算结果表明,模型设计合理、有效,求解方法简单、便捷,优化后运行方案较原方案的经济效益显著提升。Based on the operational characteristics of the pumping stations,the peak-valley timeof-use electricity prices,as well as the storage function of the water tanks,a hierarchical optimal scheduling model was applied to optimize the scheduling of primary and secondary pumping stations and water tanks.The model was established with the objective of minimizing the daily total operational electricity cost and the start/stop frequency of pumping units.The constraints included the daily water supply target,the water supply capacity of primary pumping station and the water levels of water tanks.The model was solved using both the dynamic programming method and the genetic algorithm method.The optimal operation scheme of the pumping stations was determined.The calculation results of a practical example showed that the model was reasonable and effective,the solution method was simple and convenient,and the economic benefit was significantly improved compared with the original operation scheme.
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