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为了对城市管道漏失进行有效控制,根据压力驱动漏失水力模型结合夜间最小流量法,确定管网节点的漏失系数,建立考虑压力引起漏失量的改良水力模型——减压阀经济效益模型.该模型使用遗传算法进行求解,以管道漏失量最小化为目标函数,以减压阀最大安装数量、节点压力流量方程、最大允许漏失率为约束条件,求出减压阀安装数量及安装位置,再从所有可行解里面选择一组花费最小的解作为最优解.并以HJ分区为例详细讨论减压阀经济效益模型的求解过程,对实际的管道漏失控制具有指导意义.
In order to effectively control the urban pipeline leakage, according to the pressure-driven hydraulic model combined with the nighttime minimum flow method, the leakage coefficient of the pipeline network is determined and an improved hydraulic model considering the pressure-induced leakage loss is established. The genetic algorithm was used to solve the problem. The minimum amount of pipeline leakage was taken as the objective function. The maximum installed pressure reducing valve’s pressure flow equation and maximum allowable leakage rate were used as constraints. In all feasible solutions, a set of least-cost solution is selected as the optimal solution, and HJ partitioning is taken as an example to discuss the process of solving the economic benefit model of the pressure reducing valve in detail, which is instructive for the actual pipeline leakage control.