A Study on Energy-Saving Optimization Scheduling of Industrial Water Supply Networks Based on Pump–Valve Coordination

To address the challenge of optimizing energy consumption in long-distance and complex water transmission projects that combine pressurized pumping and gravity flow in industrial parks, this study focuses on the coordinated operation characteristics of pumps and valves and establishes a pump–valve joint optimization and control model. First, a water supply network and pump–valve joint scheduling model that reflects actual engineering conditions is developed. Second, under the constraints of user demand and pressure requirements, pump speed and valve opening are selected as optimization variables to construct the joint scheduling model. Finally, a particle swarm optimization (PSO) algorithm is employed to search for optimal parameters, determining the minimum-power pump speeds and valve openings to achieve both system energy savings and demand-based water allocation. The results show that, compared with the traditional operation scheme, the optimized pump–valve coordination achieved energy savings of 9.41% and 9.71% at Stations 1 and 2, respectively, on a typical February day, and 5.06% and 3.74% at the same stations on a typical July day. Under single-pump optimization, the energy savings reached 7.77% in February and 4.30% in July at Station 1, demonstrating significant energy-saving advantages. The findings provide an effective reference and new insights for practical pump–valve coordinated optimization and energy-efficient operation of long-distance and complex water transmission systems.