Gridding Method of Active Distribution Network Considering Distributed Generation and Electric Vehicle

Abstract

With the large-scale access of distributed generation and electric vehicles, the "source and load" of active distribution network presents uncontrollable volatility and uncertainty. The passive grid generation method has been unable to keep up with the influence that operation, maintenance and management of distribution network brought by the volatility and uncertainty of the "source and load". New grid generation methods are urgently needed to adapt to the rapid development of active distribution networks. In this paper, a grid generation strategy for active distribution networks considering distributed generation and electric vehicles is proposed. Firstly, the uncertainty is modeled, and the uncertainty probability model of distributed generation and electric vehicle is built; Then, with the goal of maximizing the consumption rate of distributed generation and minimizing the line loss, the bacterial foraging algorithm is used to improve the particle swarm search formula to achieve network reconstruction and optimization, and the mesh can be re- divided; Finally, the IEEE94 node system including distributed power generation and electric vehicle is used for simulation. The results show that the distributed energy consumption rate of the proposed algorithm is increased by 17 percentage points, and the daily line loss is reduced by 27.2 percentage points, which verifies the effectiveness of the proposed division method.