配电网重构的进化算法

给出了一种对可行解进行选择、加速和移民操作的进化算法，对配电网络进行重构，使配电网的网损降低到了最小。算法避免了用遗传算法或者差异进化算法进行重构时产生大量不可行解的不足。根据梯度的概念和配电网络的结构特点，对可行解进行加速操作，使之迅速靠近并最终成为1个局部最优解，然后进行移民操作，以保持种群的多样性。最终选择所有局部最优解当中最优的个体为全局最优解。给出的算例结果证明了算法的优越性，表明该算法有较好的搜索效率。

An evolution algorithm for the distrbution network systems reeonfiguration

This study presents a method of distribution network reconfiguration to reduce power loss by evolution algorithm with selection operation, acceleration operation and migration operation to the feasible solutions. The method overcomes the defect of producing infeasible solutions during genetic algorithm or differential evolution algorithm in the application to distribution system reconfiguration. Based on the concept of gradient and the characteristic of distribution network, the method uses acceleration operation to the excellent individual to push it to a local optimum, then, uses migration operation to keep the diversity of the population. At last, the optimum in all the local optimum is selected as the global optimum. The results of the test computations demonstrate the validity and effectiveness of the proposed algorithm.