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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 the automatic voltage control of hydropower station, an improved genetic algorithm is proposed to distribute the reactive power in the hydropower station in order to ensure that the bus voltage within the hydropower station is within a given range and the network losses in the station are minimized. The method improves the three basic operators of selection, hybridization and mutation in simple genetic algorithm, and modifies the results by the hill-climbing method, thus effectively improving the speed and accuracy of reactive power optimization. The simulation of 5 units and 1 3 units of hydropower station shows that the proposed method has good adaptability and is easy to converge to the global optimum compared with the conventional method and the simple genetic algorithm.