Research on the Optimal Pumping Station Scheduling Based on Improved Particle Swarm Optimization Algorithm

In order to solve the problems of low operation efficiency of water supply pumping station and operation under design conditions,the minimum input power of the pumping station is taken as the objective function,and the constraint conditions such as the high efficiency area of the pump operation are considered to establish the operation optimization model of the pumping station. The particle swarm algorithm is used to solve the model. Aiming at the problem of premature results and low convergence accuracy of the particle swarm algorithm,the algorithm parameters are adaptively improved,and simulated annealing and Cauchy mutation operations are added. The test function verification proves that the improved particle swarm algorithm has a significant improvement in the optimization accuracy compared to APSO-DA and other optimization algorithms,and has good search stability. It is applied to the optimization scheduling problem of pumping stations,the pump start and stop losses are considered,the optimal scheduling plan for daily operation of the pumping station is determined. The optimization results show that the energy consumption of the improved scheduling scheme is reduced by 9.36% compared with the original scheme,and the energy saving effect is obvious.