遗传算法在抽水蓄能机组导叶关闭规律优化中的应用

Application of genetic algorithm to the optimization of the closing of gates in pumped storage power stations

为优化抽水蓄能机组导叶关闭规律 ,引入遗传算法。将反映导叶关闭规律的特征点开度和时间值作为操作对象 ,通过过渡过程计算得到适应函数值 ,根据适应函数值计算选择概率 ,按照一定概率进行繁殖 ,杂交和变异 ,产生新的规律 ,直至收敛达到优化效果。研究表明 。

To optimize the closing of gates in a pumped storage power station, this article presents a genetic algorithm which works well. The operational objectives of the algorithm are the corresponding time and opening angle (area) of critical points in the closing curve. A transient analysis gives the values of the objective fitness functions for a series of closing laws. The probability of selection is calculated based on the value of the objective fitness function. The old series of closing laws is used to generate a new series of closing laws through reproduction, crossover and mutation with certain probabilities. The operation continues until convergence. The study shows that good results are obtained with the highest and lowest head conditions optimized together in turbine operation.