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.
Optimization of Water Supply Scheduling Using Modified Particle Swarm Algorithm Integrated with Hydraulic Model
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第9期
Page:
59-65
Column:
Date of publication:
2025-05-01
- Keywords:
- modified particle swarm algorithm; water supply networks; hydraulic model; optimized scheduling; energy saving and consumption reduction
- 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.
Last Update:
2025-05-01