基于自适应遗传算法的配电网络重构

Network Reconfiguration Based on Improved Adaptive Genetic Algorithm

针对目前配电网络重构基本遗传算法GA易发生早熟、非全局收敛及收敛速度慢等问题,提出了一种基于改进自适应GA配网重构方法,将最优保存策略和两两竞争相结合的方法作为新选择操作数,采用随最优个体相对保留代数自适应变化交叉和变异操作数,将最优个体最少保留代数作为算法终止条件。算例结果表明,该法全局搜索能力强、收敛速度快,为配电网络重构寻优奠定了理论基础。

A new network reconfiguration method based on improved adaptive genetic algorithm was given in order to deal with some problems which include precocious or non-global convergence or slow convergence when old genetic algorithm was applied in the network reconfiguration. The improvement of the algorithm was made that put the combination of optimal preservation strategy and competitions as a new options operator, adopted cross-operator and variation operator changed with the relative retention algebra the optimal individual adaptively, put least reservation generations of the optimum individual as algorithm termination conditions. The result shows that the improved algorithm has good global search ability and rapid convergence rate, whichlays a theoretical foundation for global optimization problem of the distribution network reconfiguration.