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本文针对无功优化的控制变量既有离散量又有连续量的特点,提出一种二进制和实数混合编码的改进遗传算法。该改进算法采用随机联赛选择方式;依据变异位和交叉位控制变量的类型确定相应的遗传操作;目标函数中的越界罚系数线性动态取值。实例计算表明,该改进算法应用于无功优化是合理可行的。
In this paper, aiming at the characteristics of discrete and continuous control variables of reactive power optimization, an improved genetic algorithm based on binary and real mixed coding is proposed. The improved algorithm adopts random league selection method, determines the corresponding genetic operation according to the type of variable and cross-control variables, and linear dynamic penalty of cross-border penalty in the objective function. The example calculation shows that it is reasonable and feasible to apply the improved algorithm to reactive power optimization.