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基于漏损削减的供水管网压力优化调控研究与算法比较

Research on the Optimal Regulation of Water Supply Network Pressure Based on Leakage Reduction and Algorithm Comparison

  • 摘要: 通过控制管网压力来降低管网漏损是当前供水行业最为有效的方法之一。传统上采用减压阀来降压只适用于局部管网的压力管理,采用减压阀与供水泵站实时调控的方法对管网压力进行管理,在系统分析漏损量与节点压力之间的响应关系及其特性的基础上,建立管网漏损水力模型。以华北某城市CYN区供水管网为实例,分别使用遗传算法(GA)、粒子群优化算法(PSO)和鲸鱼优化算法(WOA)对实例进行求解,进而比较分析这3种算法的运行效果。结果表明鲸鱼优化算法对于漏损量模型的求解有着更好的性能。

     

    Abstract: It is one of the most effective ways to reduce pipe network leakage by controlling pipe network pressure. Traditionally, the pressure reducing valve is only applicable to the pressure management of local pipe network. In this paper, the method of real-time regulation of the pressure reducing valve and the water supply pump station is used to manage the pipe network pressure. Based on the systematic analysis of the response relationship and characteristics between the leakage amount and the node pressure, a hydraulic model of pipe network leakage is established.Taking the water supply network in CYN District of a city in North China as an example, genetic algorithm(GA), particle swarm optimization(PSO) and whale optimization algorithm(WOA) are used to solve the case, and then the operation effects of these three algorithms are compared and analyzed. The results show that the whale optimization algorithm has better performance for solving the leakage model.

     

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