A distribution network reconstruction method with DG and EV based on improved gravitation algorithm

Systems Science & Control Engineering

Qi Sun¹  Xiangqian Hu¹  Yongjin Yu¹  Debing Li² 

[1] College of Electrical Engineering and Automation, Shandong University of Science and Technology;Shandong Kehua Power Technology Co., Ltd;

关键词: gravity algorithm;    particle swarm algorithm;    reconfiguration of distribution network;    dg;    ev;   

DOI  :  10.1080/21642583.2020.1833781

来源: DOAJ

【 摘 要 】

In order to solve the problem of distribution network reconstruction with distributed generation (DG) and electric vehicle (EV), a multi-objective distribution network reconstruction model with DG and EV is established in this study. Two rules for opening the loop are proposed to reduce the probability of infeasible solutions. Some measures are proposed to improve traditional gravitational algorithm (GSA). Firstly, the particle swarm algorithm (PSO) is combined to improves the update formula of speed and position. In this way, the global search capability of the GSA is enhanced, which gives the best performance with respect to jump out of the local traps. Furthermore, the processing method for agents that cross the boundary is improved, which increases the diversity of samples while generating elite particles. Hence, this method can improve the efficiency of the algorithm. Finally, the variability of load, DG and EV is considered for dynamic reconstruction. The validity of the optimization algorithm and refactoring strategy are demonstrated by case studies in the paper.

【 授权许可】

Unknown