Dynamic Reconfiguration of Active Distribution Network Based on Similarity and Adaptability of Network Structure

In order to improve the capacity of active distribution network to accommodate renewable energy and optimize the environment in which distributed generators (DGs) are installed in the power grid, this paper proposes a dynamic reconfiguration strategy of active distribution network based on the similarity and adaptability of network structure. Firstly, the static reconfiguration of distribution network with the goal of maximizing the DG output in each unit period is performed. Then, two indicators (i.e. the switching state similarity and the improved node betweenness similarity) are proposed from the perspective of network topology structure, and the merging period is determined according to the similarity of network structure. After that, the adaptability of network structure is defined from the perspective of operation state quantity. Based on the adaptability, the selection of optimal network structure in the merging period is guided objectively. Aiming at the problem of static reconfiguration of distribution network with DG, this paper proposes an improved bacterial foraging algorithm (IBFA) based on adaptive adjustment of chemotactic step size. Finally, the modified PG&E 69-bus system is adopted to verify the correctness and effectiveness of the proposed reconfiguration strategy and algorithm. © 2019 Automation of Electric Power Systems Press.