基于改进人工蜂群算法的智能泵组优化研究

Research on optimization of intelligent pump group based on improved artificial bee colony algorithm

为提高水厂泵站的运行效率,以水泵机组运行总功率最小为目标,以满足供水需求、泵站高效运行和安全运行为约束条件,建立泵组优化模型。对人工蜂群算法进行改进,通过自适应调整步长,改进侦察峰搜索策略,提高收敛精度。利用改进后的人工蜂群算法对中电建夹江青衣水厂泵站运行进行优化,结果表明,泵组优化效果良好,优化方案有助于泵站的节能降耗。

In order to improve the operation efficiency of the pump station in the water plant,the optimization model of the pump unit is established with the goal of minimizing the total power of the pump unit,and the constraint conditions of meeting the water supply demand,efficient operation and safe operation of the pump station.The artificial bee colony algorithm is improved.By adaptively adjusting the step size,the reconnaissance peak search strategy is improved to improve the convergence accuracy.Using the improved artificial bee colony algorithm to optimize the operation of the pump station of Jiajiang Qingyi Water Plant of China Power Construction Corporation.The results show that the improved artificial bee colony algorithm has a good effect in optimizing the pump group,and the optimization scheme is helpful to save energy and reduce consumption of the pump station.