Heavy-duty electric vehicle charging profile generation method for grid impact analysis

被引：7

作者：

Fjaer, Kyrre Kirkbakk ^{[1
]}

Lakshmanan, Venkatachalam ^{[2
]}

Torsaeter, Bendik Nybakk ^{[2
]}

Korpas, Magnus ^{[1
]}

机构：

[1] NTNU, Dept Elect Power Engn, Trondheim, Norway

[2] SINTEF Energy Res, Dept Energy Syst, Trondheim, Norway

来源：

2021 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST) | 2021年

关键词：

Electric vehicles; High-power charging; Load modelling; Demand profile; Grid planning; Heavy-Duty Vehicles;

D O I：

10.1109/SEST50973.2021.9543135

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The transport sector is responsible for 20 % of the global CO2 emissions. By transitioning from internal-combustion engine to battery-electric vehicles, there is a big potential in reducing the emissions. The upcoming heavy-duty electric vehicles (HDEVs) are expected to have a charging power between 100-1600 kW. A transition to HDEVs can cause challenges to the power grid to deliver the charging power needed. In this paper, a methodology to model the load profile of a high-power charging station for HDEVs is proposed. Generated load profiles with different future shares of HDEVs are used to study the impact on the power grid in a representative area in Norway. The loading of the regional substation exceeds its rated capacity when the share of HDEV is 25%, and its thermal limit when the share is increased to 50%. Extending the mandatory breaks for the drivers, and a corresponding reduction of the charging power, shows promising results.

引用

页数：6

共 19 条

[11]

Pea-Da B, 2015, 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), P204, DOI 10.1109/ICITEED.2015.7408942

[12]

Stahleder D, 2019, IEEE IND ELEC, P4304, DOI 10.1109/IECON.2019.8927526

[13]

Statens Vegvesen, 2020, TRAFIKKDATA

[14]

Statens vegvesen, 2020, KJOREOG HVILETID STA

[15]

Tesla, 2020, SEM

[16] Pandapower-An Open-Source Python']Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems [J].

Thurner, Leon ;

Scheidler, Alexander ;

Schafer, Florian ;

Menke, Jan-Hendrik ;

Dollichon, Julian ;

Meier, Friederike ;

Meinecke, Steffen ;

Braun, Martin .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) :6510-6521

[17]

Ucer EY, 2018, IEEE TRANSP ELECT C, P904, DOI 10.1109/ITEC.2018.8450158

[18]

Yunus K., 2011, DISTRIBUTION GRID IM

[19] Grid Impact Analysis of Heavy-Duty Electric Vehicle Charging Stations [J].

Zhu, Xiangqi ;

Mather, Barry ;

Mishra, Partha .

2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2020,

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