基于序优化和模糊蚁群算法的多目标配电网重构

Multi Objective Distribution Network Reconfiguration Based on Ordinal Optimizationand Fuzzy Ant Colony Algorithm

针对蚁群算法求解配电网重构问题时搜索时间过长、易陷入局部最优解等问题,提出了一种基于序优化理论和模糊控制理论改进的蚁群算法应用于配电网重构。通过加入模糊规则,结合序优化思想,在信息素更新环节提出了分阶段按序更新策略,扩大解空间的探索;将Prim算法应用于搜索环节,直接得到辐射型可行解,大大减少了构造解的时间;结合模糊理论提出了多目标的目标函数,有利于得出高质量的解。选取IEEE33节点配电系统作为算例验证了算法的有效性和优越性。

In view of problems the ant colony algorithm for distribution network reconfiguration problem has some such as long searching time and easiness to fall into local optimal solution, this paper proposes a new ant colony algorithm imp- roved by ordinal optimization theory and fuzzy control theory. By adding fuzzy rules, combined with the idea of ordinal optimization, the pheromone update part is proposed to update in order by stages, expand the exploration of the solution space;the prim algorithm is applied to searching part, and by calculation the radiation type feasible solution could be obta- ined directly, which greatly reduces the time of constructing the solution; based on fuzzy theory, the objective function of muhi-objective is proposed in this paper to obtain solutions of higher quality. The IEEE33-bus distribution network is selected as an example to verify the effectiveness and superiority of the modified algorithm.