Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids

被引:37
作者
Spitzer, Martin [1 ]
Schlund, Jonas [2 ]
Apostolaki-Iosifidou, Elpiniki [3 ]
Pruckner, Marco [1 ,2 ]
机构
[1] Friedrich Alexander Univ Erlangen Nuernberg FAU, Energy Informat, Martensstr 3, D-91058 Erlangen, Germany
[2] Friedrich Alexander Univ Erlangen Nuernberg FAU, Lab Comp Networks & Commun Syst, Martensstr 3, D-91058 Erlangen, Germany
[3] SLAC Natl Accelerator Lab, Grid Integrat Syst & Mobil GISMo, Menlo Pk, CA 94025 USA
关键词
electric vehicles; optimization; grid model; grid integration; coordinated charging;
D O I
10.3390/en12214059
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
All over the world the reduction of greenhouse gas (GHG) emissions, especially in the transportation sector, becomes more and more important. Electric vehicles will be one of the key factors to mitigate GHG emissions due to their higher efficiency in contrast to internal combustion engine vehicles. On the other hand, uncoordinated charging will put more strain on electrical distribution grids and possible congestions in the grid become more likely. In this paper, we analyze the impact of uncoordinated charging, as well as optimization-based coordination strategies on the voltage stability and phase unbalances of a representative European semi-urban low voltage grid. Therefore, we model the low voltage grid as a three-phase system and take realistic arrival and departure times of the electric vehicle fleet into account. Subsequently, we compare different coordinated charging strategies with regard to their optimization objectives, e.g., cost reduction or GHG emissions reduction. Results show that possible congestion problems can be solved by coordinated charging. Additionally, depending on the objective, the costs can be reduced by more than 50% and the GHG emissions by around 40%.
引用
收藏
页数:19
相关论文
共 45 条
[31]  
Lee J, 2012, LECT NOTES ARTIF INT, V7196, P208, DOI 10.1007/978-3-642-28487-8_21
[32]   Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Through Chance Constrained Mixed-Integer Programming [J].
Liu, Zhaoxi ;
Wu, Qiuwei ;
Oren, Shmuel S. ;
Huang, Shaojun ;
Li, Ruoyang ;
Cheng, Lin .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) :644-654
[33]   European representative electricity distribution networks [J].
Mateo, Carlos ;
Prettico, Giuseppe ;
Gomez, Tomas ;
Cossent, Rafael ;
Gangale, Flavia ;
Frias, Pablo ;
Fulli, Gianluca .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 99 :273-280
[34]   A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles [J].
Mu, Yunfei ;
Wu, Jianzhong ;
Jenkins, Nick ;
Jia, Hongjie ;
Wang, Chengshan .
APPLIED ENERGY, 2014, 114 :456-465
[35]   Distributed Charge Scheduling of Plug-In Electric Vehicles Using Inter-Aggregator Collaboration [J].
Mukherjee, Joy Chandra ;
Gupta, Arobinda .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (01) :331-341
[36]   Integration of Electric Vehicles in the Electric Power System [J].
Pecas Lopes, Joao A. ;
Soares, Filipe Joel ;
Rocha Almeida, Pedro M. .
PROCEEDINGS OF THE IEEE, 2011, 99 (01) :168-183
[37]   Definitions of voltage unbalance [J].
Pillay, P. ;
Manyage, M. .
IEEE Power Engineering Review, 2001, 21 (05) :50-51
[38]   Who will buy electric vehicles? Identifying early adopters in Germany [J].
Ploetz, Patrick ;
Schneider, Uta ;
Globisch, Joachim ;
Duetschke, Elisabeth .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2014, 67 :96-109
[39]   A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks [J].
Postigo Marcos, Fernando E. ;
Mateo Domingo, Carlos ;
Gomez San Roman, Tomas ;
Palmintier, Bryan ;
Hodge, Bri-Mathias ;
Krishnan, Venkat ;
de Cuadra Garcia, Fernando ;
Mather, Barry .
ENERGIES, 2017, 10 (11)
[40]  
Prettico G., 2016, Distribution system operators observatory: From European electricity distribution systems to reference network