Open AccessA collaborative planning method of distribution network including EV charging piles and Distributed Generations
Author(s) -
Hanxi Yang,
Dong Liu,
Yu Lu,
Eryong Liu,
Xiaohui Mei,
Shouxiang Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012037
Subject(s) - computer science , mathematical optimization , power flow , node (physics) , flow network , distributed generation , distribution (mathematics) , distributed computing , power (physics) , simulation , engineering , electric power system , mathematics , mathematical analysis , physics , structural engineering , quantum mechanics
With the growing penetration rate of distributed generations (DGs) and large number of unordered charging electric vehicles (EVs), the distribution network (DN) is facing more challenges than before. Therefore, the DN planning integrated of EVs and DGs is the primely problem. Firstly, an traffic network model and a distributed power supply output model are established to simulate the actual traffic network flow distribution through the principle of user equilibrium flow distribution. Secondly, an improved adaptive free search algorithm is proposed to coordinate site selection planning of EV charging pile and DG considering the factors of economy and users’ satisfaction of charging. Finally, taking the modified IEEE 33-node distribution network as an example, the proposed model and algorithm are simulated and verified. The simulation results show that the proposed model and programming method are feasible and effective.