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为了快速准确地去除配电网重构过程中的不可行解,给出基本环信息矩阵以包含所有配电网含环路情况,从而在一定条件下保证非基本环信息矩阵内的方案可行,同时避免小生境遗传算法收敛于局部最优解,提出小生境—粗粒度混合遗传算法求解配电网重构模型,即将小生境遗传算法中的子父代共同竞争淘汰机制与粗粒度并行遗传算法中的迁移操作相结合,再通过试验获取最优参数配置。算例结果表明,该方案较传统小生境遗传算法求解配电网重构模型具有更高的寻优成功率和更快的收敛速度。
In order to quickly and accurately remove infeasible solutions in the process of distribution network reconfiguration, a basic ring information matrix is given to include all the loops in the distribution network. Under certain conditions, the scheme in the non-basic ring information matrix is feasible. At the same time, to avoid that the niche genetic algorithm converges to the local optimal solution, a niche-coarse-grained hybrid genetic algorithm is proposed to solve the distribution network reconfiguration model. That is, the offspring co-competing elimination mechanism and coarse-grained parallel genetic algorithm In the migration operation of a combination of experiments and then get the optimal parameter configuration. The results of the example show that this scheme has higher success rate and faster convergence rate than the traditional niche genetic algorithm to solve the distribution network reconfiguration model.