Water Resources and Power

In response to the problems of low efficiency and significant safety hazards during the operation of long-distance water pump stations, this article established an optimization model with the goal of minimized the operating electricity cost, maximized the average efficiency of water pumps, minimized the average deviation of water pump flow, and minimized the average start and stop frequency of water pump. Taking the water transfer project of a coastal city in East China as an example, the third generation non-dominated sorting genetic algorithm(NSGA-Ⅲ) was used to solve the optimization model. The Analytic Hierarchy Process(AHP) and CRITIC method were used for combined weighting, and the TOPSIS method was used for scheme optimization. Compared to the conventional scheduling scheme, the results show that the optimal scheduling scheme significantly reduces the operating electricity cost and average deviation degree of water pump flow of the two pumping stations, significantly improves the average efficiency of water pumps, and reduces the average frequency of water pump start and stop. This indicates that the established optimization model can effectively reduce safety hazards, taking into account the economic operation of pump stations.