Distributed photovoltaic bilevel programming method for improving carrying capacity of distribution networks

In response to the explosive growth and large-scale grid connection of photovoltaic power generation，significant changes in the structure and operation status of the distribution network，and challenges to the reliability and safety of the distribution network，the generalized short circuit ratio(gSCR)，voltage correlated margin index(VIMI)，and voltage deviation were used as evaluation indicators for the carrying capacity of the distribution network． A distributed photovoltaic location and capacity dual layer planning model was proposed to improve the carrying capacity of the distribution network．The upper level aims to maximize the load-bearing capacity of the distribution network，and in which the location and capacity of distributed photovoltaic equipment were selected．The lower level planning aims to minimize grid losses，in which the reactive power output of photovoltaic equipment was adjusted，and the photovoltaic access capacity was optimized． The beetle antennae search algorithm(BAS) particle swarm optimization algorithm and second-order cone relaxation method was used to solve the model． Finally，the effectiveness of the model was verified through a case study，and the results show that the proposed scheme has good robustness and applicability. © 2024 Huazhong University of Science and Technology. All rights reserved.