基于单环寻优策略的有源配网重构方法

配网DG接入导致智能优化算法在重构求解时易陷入局部收敛且寻优率较低.考虑配网拓扑特性与算法的关系,将两者深度结合,提出基于单环寻优策略的有源配网重构方法.首先引入莱维飞行对量子粒子群算法进行改进,建立了莱维系数量子粒子群算法.其次提出自适应环压有序环矩阵作为算法的解空间.最后根据配网拓扑与算法全局最优解之间的对应关系提出单环寻优策略,与算法深度结合进行求解.通过改进算法、优化解空间、配网拓扑与算法深度结合三个角度提高算法全局搜索能力和寻优效率.通过对多个电力系统进行仿真分析,验证所提算法和策略的有效性和适用性.

Active distribution network reconfiguration based on single loop optimization strategy

DG access in a distribution network leads to an intelligent optimization algorithm which can easily fall into local convergence and low optimization rate in the reconstruction. Considering the relationship between the distribution network topological characteristics and the algorithm, an active distribution network reconstruction method based on single loop optimization strategy is proposed by deeply combining the two. First, Levy flight is introduced into the quantum particle swarm optimization algorithm to establish the Levy coefficient quantum particle swarm optimization (LCQPSO) algorithm. Secondly, the adaptive ordered ring matrix based on node voltage in a ring network is proposed as the solution space of the algorithm. Finally, from the corresponding relationship between the distribution network topology and the global optimal solution of the algorithm, a single loop optimization strategy is established. This is dynamically combined with the algorithm. By improving the algorithm, optimizing the solution space, and combining the distribution network topology with the algorithm depth, the global search ability and optimization efficiency of the algorithm is improved. The effectiveness and applicability of the proposed algorithm and strategy are verified by simulation analysis of several power systems. This work is supported by the National Natural Science Foundation of China (No. 51907116).