梯级泵站优化运行的遗传算法

采用遗传算法对梯级泵站联合运行时的优化调度问题进行了求解．计算中采用大系统分解协调模型，考虑了不同地区、不同时间段的电价对优化调度的影响．在子系统的优化过程中，各泵站内部单台机组的性能可以不相同；由于单台机组流量的取值是一个离散点和连续区间的集合，对于等式约束采用罚函数法，对于不等式约束，采用编码的办法解决．这种方法也适用于单个泵站多型号机组分时段运行时的优化调度．

Optimizing operation of cascade pumping stations by genetic algorithm

When cascade pumping stations operate in the mode of combination, the solution of problem of optimal dispatching is solved by genetic algorithms. The model of decomposition-coordination in large system is adopted. The influence of electricity price in different region and different time interval on optimization is also considered. In the process of optimization of subsystem, the performance of the pump units in the pumping station is different. Because the range of the flow rate of single pump unit is a con- gregation of a discrete point and an extent, the method of penalty function and method of coding are re spectively used in equation restriction and inequation restriction. This method may also be used in the optimizing dispatch of single pumping station with different pump unit performances.