【摘要】 提出一种求解水电厂厂内机组间负荷优化分配的新方法——拟梯度遗传算法 (QGA) ,详细介绍了算法的原理和实现过程。该算法采用实数编码技术和基于拟梯度的遗传变异算子 ,求解精度高而且收敛速度快 ,为水电厂内的经济运行提供了一种有效的方法 ,算例说明了该方法的有效性。更多还原

【Abstract】 A new quasi gradient mixed genetic algorithmis putforward tosolve the problem of optimal load distributionamong the units in hydropower station. Inthis algorithmthe real codingtechnique and the genetic mutation operators based on thequasi gradientare applied. Thealgorithmprinciplesandimplementingsteps are presented in detail. Applyingtheproposedmethod to economic operation in an actualhydropowerstation, theresults show that the precision ofsolutions can beimproved and theconvergence speed can be increased. Therefore, this method is efficient for economic operation of hydropower station.更多还原