Data-Driven Study of Low Voltage Distribution Grid Behaviour With Increasing Electric Vehicle Penetration

被引:25
作者
Yu, Yunhe [1 ]
Reihs, David [2 ]
Wagh, Saumitra [1 ]
Shekhar, Aditya [1 ]
Stahleder, Daniel [2 ]
Mouli, Gautham Ram Chandra [1 ]
Lehfuss, Felix [2 ]
Bauer, Pavol [1 ]
机构
[1] Delft Univ Technol, Dept Elect Sustainable Energy, NL-2628 CD Delft, Netherlands
[2] Austrian Inst Technol, Dept Elect Energy Syst, A-1210 Vienna, Austria
关键词
Electric vehicle charging; Transformers; Loading; Substations; Europe; Voltage; Uncertainty; Electric vehicle (EV); low voltage distribution grid; uncontrolled charging; IMPACTS; LOAD;
D O I
10.1109/ACCESS.2021.3140162
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the impact of Electric Vehicle (EV) uncontrolled charging with four levels of EV penetration in overall 21 real low voltage distribution grids in two seasons are analysed. The employed real grid data is provided by distribution system operators from three European countries: Austria, Germany and the Netherlands. At least six grids in each country were considered and they are categorised into three types, namely rural grids, suburban grids and urban grids. The EV charging data used in this study is based on real measurements or surveys. The seasonal and the weekday-weekend factors are also considered in the EV charging impact research. Three key congestion indicators, the transformer loading, line loading and node voltage as well as several other evaluation indexes are studied. The results reveal that the majority of the simulated grids had no or minor moments of mild overloading while the rest grids had critical issues. Among all the grids, suburban grids are most vulnerable to massive EV integration. Out of the evaluated grids, those who are located in Germany have the highest redundancy for high EV penetration accommodation. Overall, the impact of uncontrolled EV charging depends on the combination of EV charging demand as well as the grid inherent features.
引用
收藏
页码:6053 / 6070
页数:18
相关论文
共 44 条
[1]  
[Anonymous], 2010, EN 50160
[2]  
[Anonymous], 2010, 618511 IEC
[3]  
[Anonymous], STAND STORM
[4]  
[Anonymous], SYNTH LOAD PROF
[5]   Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto [J].
Awadallah, Mohamed A. ;
Singh, Birendra N. ;
Venkatesh, Bala .
CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING-REVUE CANADIENNE DE GENIE ELECTRIQUE ET INFORMATIQUE, 2016, 39 (04) :268-273
[6]   A Novel Framework for Evaluating Maximum PEV Penetration Into Distribution Systems [J].
Bin Humayd, Abdullah S. ;
Bhattacharya, Kankar .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) :2741-2751
[7]   Grid Loading Due to EV Charging Profiles Based on Pseudo-Real Driving Pattern and User Behavior [J].
Calearo, Lisa ;
Thingvad, Andreas ;
Suzuki, Kenta ;
Marinelli, Mattia .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2019, 5 (03) :683-694
[8]  
Centraal Bureau voor de Statistiek, 2012, ZONN VERM BEDR WON R
[9]  
Centraal Bureau voor de Statistiek, REG KERNC NED
[10]  
Centraal Bureau voor de Statistiek (CBS), 2018, AUT NAAR REG PERS 20