基于遗传算法的地表水取水泵站优化调度

针对我国地表水取水泵站运行效率不高、能源浪费等问题,基于地表水取水泵站优化调度模型,利用遗传算法以泵站运行总功率最小为目标函数编写泵站优化调度程序,分别计算北方某水库地表水处于最低水位不同日供水量、常水位不同日供水量的系统工况下泵站运行功率。结果表明,地表水常水位运行情况下比日常运行方案节能3.8%。可见遗传算法编写的泵站优化程序有效可行。

Optimal Scheduling of Surface Water Pumping Station Based on Genetic Algorithm

In order to solve the problems of low efficiency and wasted energy of surface water intake pumping stations, based on the optimization dispatch model of surface water intake pumping station, this paper uses the genetic algorithm to compiling the optimal dispatching program of pumping station with the minimum total power of the pump station as the objective function. And then the operation power of pumping station is calculated when the surface water of a reservoir in North China is in the system condition of different daily water supply at the lowest water level and different daily water supply at the constant water level. The results show that the normal water level of surface water is 3.8% energy saving than the daily plan. It can be proved that the optimization program of pumping station compiled by genetic algorithm is effective and feasible.