LIUXiang-xiang,ZHUYi-song,GAOYue-fei,et al.Optimization of Water Supply Scheduling Using Modified Particle Swarm Algorithm Integrated with Hydraulic Model[J].China Water & Wastewater,2025,41(9):59-65.
改进粒子群算法耦合水力模型的供水优化调度分析
- Title:
- Optimization of Water Supply Scheduling Using Modified Particle Swarm Algorithm Integrated with Hydraulic Model
- Keywords:
- modified particle swarm algorithm; water supply networks; hydraulic model; optimized scheduling; energy saving and consumption reduction
- 摘要:
- 城市供水管网中由于供水距离过长或水量调节的需要，往往要增设二级、三级加压泵站，然而目前大多依靠操作人员的相关经验调控水厂及各级泵站的运行，这使得城市的供水安全保障大大降低。基于此，提出了一种基于改进粒子群算法耦合水力模型的供水优化调度方法，以片区内水厂及各级泵站运行的总能耗最小为目标，以控制点水压为主要约束条件，对片区内水厂和各级泵站的运行情况进行求解，给出最优化的调度方案。结果表明，经优化调度后，片区内水厂和各级泵站24 h运行的总能耗降低了约15%，各控制点的压力均值及压力波动明显减小，且均满足最小压力需求，这对降低管网的爆管可能及漏损率均有重要意义，也提高了供水安全保障能力，可见所建立的优化调度方法具有明显的经济效益和社会效益。
- Abstract:
- Due to the extensive water supply distance or the necessity of flow regulation in urban water supply networks, it is often required to establish secondary and tertiary pressurized pumping stations. However, currently, most operations rely heavily on the subjective experience of operators for regulating the functioning of water plants and pumping stations at various levels, which significantly compromises the reliability and security of urban water supply systems. In this paper, a water supply optimization scheduling method was proposed, which integrates an enhanced particle swarm optimization algorithm with a hydraulic model. This method aims to minimize the total energy consumption of water plants and pumping stations in the region, using the water pressure at control points as the primary constraint, and provide an optimal scheduling scheme by solving the operational conditions of water plants and pumping stations. After the implementation of the optimized scheduling, the total energy consumption of water plants and pumping stations at all levels within a 24-hour operational cycle in the region was reduced by approximately 15%. Additionally, the average pressure and pressure fluctuations at each control point were significantly decreased, while still meeting the minimum pressure requirements. This plays a crucial role in reducing the likelihood of pipe bursts and the leakage rate of the pipeline network, thereby enhancing the safety and reliability of water supply. The findings indicate that the optimized scheduling approach yields substantial economic and social benefits.
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