改进遗传算法在水电站自动电压控制中的应用研究

APPLICATION OF IMPROVED GENETIC ALGORITHM TO AUTOMATIC VOLTAGE CONTROL OF HYDROPOWER STATION

在水电站自动电压控制中 ,为保证水电站内母线电压在给定范围内 ,并且使站内网络损耗最小 ,文中提出一种改进的遗传算法进行水电站内无功分配。该方法通过对简单遗传算法中的选择、杂交和变异 3个基本算子进行改进 ,并采用爬山法修正所得结果 ,从而有效地提高了无功优化的速度和精度。对 5机组和 1 3机组的水电站进行仿真 ,结果表明与常规方法及简单遗传算法相比 ,该方法适应性好 ,且易收敛到全局最优。

In order to keep the bus voltage of hydropower station within the perm itted limit and the system losses of the station to m inimum,an im proved genetic algorithm is used in optimal reactive power dispatching for automatic voltage control of hydropower station. In this algorithm three operators are reformed. They are select,crossover and mutation. The results obtained are further amended by mountain- climbing method.Hence the speed and the precision of reactive power optimization are im proved effectively.By sim ulating a5 - unit hydropower station and a13- unit hydropower station,and comparing with the norm al optimal algorithms and single genetic algorithm ,the results show that the improved algorithm has the better feasibility and is easier to reach the global optimum.