Abstract: Because most of the current research on distribution network reconfiguration is aimed at small and medium-sized networks, and there is less research on large networks, an optimized GA( Genetic Algorithm) algorithm is proposed. In the large-scale distribution network reconfiguration, the gene operation process is optimized, and the elite strategy is introduced to retain the genetic information of the parent optimal individual to the greatest extent. In the process of variation, the “ local variation冶 is introduced again, and the offspring population is more diverse. The correlation coefficient is introduced into the reconstructed objective function to simplify the computational complexity. The algorithm is applied to IEEE118 node system. Compared to the results obtained by MC(Monte Carlo) simulation method, the reconstructed network loss and voltage deviation are obviously better, which proves the feasibility and effectiveness of the algorithm in large-scale distribution network reconstruction.

Key words: large distribution network, power grid reconstruction, genetic algorithm (GA), local mutation