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拟梯度遗传算法在水电厂厂内经济运行中的应用研究
引用本文:袁晓辉,张双全,王金文,张勇传.拟梯度遗传算法在水电厂厂内经济运行中的应用研究[J].电网技术,2000,24(12):66-69.
作者姓名:袁晓辉  张双全  王金文  张勇传
作者单位:华中理工大学水利水电及自动化工程系,湖北省,武汉市,430074
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。

关 键 词:水电厂  经济运行  拟梯度遗传算法  实数编码

APPLICATION OF QUASI-GRADIENT GENETIC ALGORITHM TO ECONOMIC OPERATION OF HYDROPOWER STATION
YUAN Xiao-hui,ZHANG Shuang-quan,WANG Jin-wen,Zhang Yong-chuan.APPLICATION OF QUASI-GRADIENT GENETIC ALGORITHM TO ECONOMIC OPERATION OF HYDROPOWER STATION[J].Power System Technology,2000,24(12):66-69.
Authors:YUAN Xiao-hui  ZHANG Shuang-quan  WANG Jin-wen  Zhang Yong-chuan
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.
Keywords:quasi  gradient  genetic algorithm  real numbers encoding  economic operat
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