Optimal scheduling of water-supply pumping stations based on cell excluding double population genetic algorithm
基于胞腔排除双种群遗传算法的泵站优化调度

The optimal scheduling of pumping stations is the key to realizing efficient operation of water industry system. An optimal scheduling model of water-supply pumping stations based on approximation of exponent curves was proposed. The shaft horsepower of the pumps was used as the objective function, and both water supply target and high-efficiency area of pumps were taken as the constrained conditions. With the proposed model, solutions based on the cell excluding and variable population genetic algorithm (CEDPGA) were obtained. The CEDPGA not only got valid cells by cell exclude, which were possible parallel schemes and satisfied engineering requirement on lower switching frequency, but also gained optimal load distribution of the working pumps, which has higher precision. The simulation results showed that the CEVPGA is more effective than the conventional GA.