配电线路集中无功补偿优化的改进遗传算法

Improved genetic algorithm for centralized reactive power compensation optimization of distribution line

根据配电线路集中无功补偿优化的特点,提出了一种通过动态调整补偿容量上限值避免产生过补偿现象的计算方法,减少了不可行解的产生。并对遗传算法进行了改进,采用整数编码,结合了模拟退火算法,调整了适应函数,给出了初温确定方法,采用了随机多父辈适应函数值加权交叉,改进了变异操作,从而提高了算法的计算效率和优化性能。优化算例说明了该方法的有效性。

Based on the features of centralized reactive power compensation, a computing method of avoiding over compensation through dynamic adjust upper limit value is proposed, the number of infeasible solutions is reduced. In the genetic algorithm, integer code is adopted, simulated annealing algorithm is combined, fitness function is adjusted, the method of determining initial temperature is given, the random parent-number fitness-weighted cross is adopted, and mutation method is improved, which can improve the computational efficiency and optimum performance. Example shows that the algorithm is efficient. This work is supported by National Natural Science Foundation of Shandong Province（No.Y2007G48）.