In order to reduce the energy consumption of water supply pumping station system,the optimization tests of genetic algorithm(GA), particle swarm optimization(PSO) algorithm and artificial bee colony(ABC) algorithm were carried out by using four standard test functions.The test results show that the ABC algorithm has great advantages over the PSO algorithm and the GA algorithm in both convergence speed and optimization accuracy.Based on the target power consumption theory,an optimal scheduling model with the minimum power consumption per unit output as the objective function was established,and this model was applied to study the energy saving of the water supply pumping station system.The ABC algorithm was used to optimize the model to obtain the optimized operating scheme of water supply pumping station system.The feasibility and economy of the scheme were evaluated to prove the superiority of the ABC algorithm and its practical value in pumping station optimization.