基于人工蜂群算法的供水泵站系统节能研究

Research on energy saving of water supply pumping station system based on artificial bee colony algorithm

为了降低供水泵站系统的运行能耗,利用4个标准测试函数对遗传算法(genetic algorithm,GA)、粒子群算法(particle swarm optimization,PSO)和人工蜂群算法(artificial bee colony,ABC)进行寻优测试。测试结果表明,无论是收敛速度还是优化精度,ABC算法较PSO算法和GA算法都有极大的优势。基于目标电耗理论,建立以单位产量电耗最少为目标函数的优化调度模型,并将该模型应用于供水泵站系统的节能研究中。运用ABC算法对所建模型进行寻优计算,得出供水泵站系统的优化运行方案。对该方案的可行性和经济性进行评估,证明了ABC算法的优越性及其在泵站优化方面的实用价值。

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.