基于水波算法的供水泵站多目标优化运行研究

Research on multi-objective optimal operation of water supply pump station based on water wave algorithm

为解决供水泵站水泵偏工况运行、机组频繁启停等问题,以并联泵组为研究对象,建立调度周期内运行费用、机组启停总次数与调度人员启停任务次数的多目标函数,及水泵调速比、流量偏离度、供水需求为约束条件的泵站运行优化数学模型。运用多目标水波算法,生成Pareto解集,并基于CRITIC法进行多属性决策研究,求解泵站多目标优化与决策问题。工程算例表明,该方法能很好地解决供水泵站并联机组的多目标综合优化问题,并通过决策方法为调度人员提供综合性能较好的调度方案,相比于以最小运行费用的单目标仅高出0.6%,但减少了16次机组启停次数、4次启停任务次数。研究结果在兼顾运行成本的同时有效提升泵站运行安全性及稳定性,并可延长水泵运行寿命,为泵站优化问题提供参考方案。

In order to solve the problems of partial operation of pumps and frequent start-stop of units in water supply pumping stations,a multi-objective function of operating costs,total number of unit starts and stops and number of start-stop tasks of dispatchers in the scheduling cycle is established,and a mathematical model of pump station operation optimization constrained by pump speed regulation ratio,flow deviation and water supply demand is established.The multi-objective water wave algorithm is used to generate the Pareto solution set,and the multi-attribute decision research is carried out based on the CRITIC method to solve the multi-objective optimization and decision-making problem of pumping station.The engineering example shows that this method can solve the multi-objective comprehensive optimization problem of the parallel connection group of the water supply pumping station,and provide the dispatcher with a scheduling scheme with better comprehensive performance through the decision-making method,which is only 0.6%higher than the single target with the minimum operating cost,but reduces the number of 16 unit starts and stops and 4 start-stop tasks.The research results can effectively improve the operation safety and stability of the pump station while taking into account the operation cost,and extend the operation life of the pump,which can provide a reference for the optimization of the pump station.