Open AccessAnalysis of the impact of various charging modes on grid connection of electric vehicles
Author(s) -
Zeheng Zhang,
Weihua Li,
Youhong Ran,
Dianxiang Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1906/1/012013
Subject(s) - automotive engineering , electric vehicle , grid , load balancing (electrical power) , power grid , power (physics) , base load power plant , reliability (semiconductor) , computer science , electrical engineering , distributed generation , engineering , mathematics , renewable energy , physics , geometry , quantum mechanics
In recent years, as a new type of green energy, electric vehicles have developed rapidly. However, the charging behavior of electric vehicles is uncertain in time and season. A large number of electric vehicles connect the load with the power grid through different charging methods, which leads to the load redistribution of the power grid. Therefore, the research on the impact of load on distribution network under different conditions can give full play to the role of electric vehicles in peak load regulation and valley filling of power grid, which is of great significance to adjust charging behavior and improve power supply reliability of power grid. Firstly, according to the factors that affect the charging load of electric vehicles, the charger models under different charging modes and IEEE-14 node distribution network models are established. In addition, considering the daily living habits of the citizens, this paper proposes two normal distribution models to study the load distribution law of electric vehicles connected with the distribution network in different periods, and draw a one-day load curve. The peak load caused by people’s charging behavior in one day is explained and analyzed. Finally, the effects of different seasons on charging behavior and charging efficiency are simulated, and the load curves of different seasons are drawn, and the results are analyzed comprehensively.