基于遗传算法的二次供水低位水箱调度方案优化

Optimization of Scheduling Solution for Low-Level Water Tank in Secondary Water Supply System Based on Genetic Algorithm

低位水箱是目前二次供水改造的主要方式之一。但在建设与运行管理过程中,普遍存在水箱调蓄作用未被充分利用的问题。针对此问题,研究以低位水箱对市政供水管网的调蓄效果最优,即以二级泵站出水波动强度最小为目标,建立调度优化模型,通过遗传算法进行求解,寻找二次供水低位水箱与供水管网的联合优化调度的最佳方案。将该模型应用于SZ市管网中,通过优化前后的二级泵房出水压力、流量的波动强度与供水管网理论能耗值对比,证明了通过优化二次供水水箱调度方案实现“削峰填谷”和节能降耗的可行性。

The low-level water tank is one of the main ways of secondary water supply reconstruction at present.However,in the process of construction and operation management,there is a common problem that the regulation function of water tank is not fully utilized.Aiming at this problem,the optimal regulation effect of low-level water tank on the municipal water supply network,namely,the minimum fluctuation intensity of the outlet water of secondary pumping station was taken as the goal,and the optimal regulation model was established and solved by genetic algorithm.The optimal scheme of joint optimal operation of low-level water tank and water distribution system for secondary water supply was found.This model was applied to pipeline network in SZ City.By comparing the fluctuation intensity of outlet pressure and flow rate of the second pump house before and after optimization with the theoretical energy consumption values of water supply pipe network,the feasibility of“peak load shifting”and energy saving and consumption reduction by optimizing the dispatching scheme of secondary water supply tank is proved.