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Fair Charging Service Allocation for Electric Vehicles in the Power Distribution Grid

Authors:

Dominik Danner,

Wolfgang Duschl,

Hermann de MeerAuthors Info & Claims

e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems

Pages 406 - 408

https://doi.org/10.1145/3307772.3330168

Published: 15 June 2019 Publication History

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Abstract

The increasing battery capacity of electric vehicles allows longer driving distances, but also requires longer charging times, so that European standard Schuko electricity socket-outlets at households (max. 3.7kW) are not suitable for full charge cycles over night. Private (semi-) fast wall-boxes often require enhancement of the power distribution system or otherwise partial overloading can occur in case electric vehicles charge simultaneously at the same area. This work proposes a dynamically weighted fair queuing algorithm, which can be applied to radial power distribution grids, for fairly allocating the available charging power capacity to ongoing charging processes. In contrast to other solutions, the fairness is based on the whole charging service, considering both, the required energy and the availability of the electric vehicle. The proposed algorithm is compared by simulation with statically weighted fair queuing, earliest deadline first and first come first serve charging power capacity allocation.

References

[1]

Omid Ardakanian, Srinivasan Keshav, and Catherine Rosenberg. 2014. Real-Time Distributed Control for Smart Electric Vehicle Chargers: From a Static to a Dynamic Study. IEEE Transactions on Smart Grid 5, 5 (2014), 2295--2305.

Crossref

Google Scholar

[2]

Omid Ardakanian, Catherine Rosenberg, and Srinivasan Keshav. 2013. Distributed Control of Electric Vehicle Charging. In Proceedings of the Fourth International Conference on Future Energy Systems (e-Energy '13). ACM, New York, NY, USA, 101--112.

Digital Library

Google Scholar

[3]

Yu Wen Chen, Xiuxing Chen, and Nicholas Maxemchuk. 2012. The fair allocation of power to air conditioners on a smart grid. IEEE Transactions on Smart Grid 3, 4 (2012), 2188--2195.

Crossref

Google Scholar

[4]

European Comission. 2011. White Paper on transport: Roadmap to a Single European Transport Area -- towards a competitive and resource efficient transport system. Directorate-General for Mobility and Transport (March 2011), 32.

Google Scholar

[5]

Christine Eisenmann, Ing Bastian Chlond, Tim Hilgert, Sascha von Behren, and Ing Peter Vortisch. 2017. Deutsches Mobilitätspanel (MOP)--Wissenschaftliche Begleitung und Auswertungen Bericht 2016/2017: Alltagsmobilität und Fahrleistung. (2017).

Google Scholar

[6]

L. Gan, U. Topcu, and S. Low. 2011. Optimal decentralized protocol for electric vehicle charging. In 2011 50th IEEE Conference on Decision and Control and European Control Conference. 5798--5804.

Google Scholar

[7]

T. Hoßfeld, L. Skorin-Kapov, P. E. Heegaard, and M. Varela. 2017. Definition of QoE Fairness in Shared Systems. IEEE Communications Letters 21, 1 (Jan 2017), 184--187.

Google Scholar

[8]

Fanxin Kong, Xue Liu, Zhonghao Sun, and Qinglong Wang. 2016. Smart Rate Control and Demand Balancing for Electric Vehicle Charging. In 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 1--10.

Digital Library

Google Scholar

[9]

Alberto Leon-Garcia and Indra Widjaja. 2003. Communication Networks: Fundamental Concepts and Key Architectures (2 ed.). McGraw-Hill, Inc., New York, NY, USA.

Digital Library

Google Scholar

[10]

Tjarko Tjaden, Bergner Joseph, and Volker Quaschning. 2015. Representative electrical load profiles of residential buildings in Germany with a temporal resolution of one second. HTW Berlin November (2015), 8.

Google Scholar

[11]

B. Wang, B. Hu, C. Qiu, P. Chu, and R. Gadh. 2015. EV charging algorithm implementation with user price preference. In 2015 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT). 1--5.

Google Scholar

[12]

Yingjie Zhou, Nicholas Maxemchuk, Xiangying Qian, and Yasser Mohammed. 2013. A weighted fair queuing algorithm for charging electric vehicles on a smart grid. In 2013 IEEE Online Conference on Green Communications (OnlineGreen-Comm). 132--136.

Crossref

Google Scholar

[13]

Yingjie Zhou, Nicholas Maxemchuk, Xiangying Qian, and Chen Wang. 2014. The fair distribution of power to electric vehicles: An alternative to pricing. In 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm). 686--691.

Crossref

Google Scholar

Cited By

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Spanoudakis NAkasiadis CIatrakis GChalkiadakis G(2023)Engineering IoT-Based Open MAS for Large-Scale V2G/G2VSystems10.3390/systems1103015711:3(157)Online publication date: 19-Mar-2023
https://doi.org/10.3390/systems11030157
Fan GYang ZJin HGan XWang X(2022)Enabling Optimal Control Under Demand Elasticity for Electric Vehicle Charging SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2020.301512121:3(955-970)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TMC.2020.3015121
Akasiadis CIatrakis GSpanoudakis NChalkiadakis G(2022)An Open MAS/IoT-Based Architecture for Large-Scale V2G/G2VAdvances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection10.1007/978-3-031-18192-4_1(3-14)Online publication date: 13-Oct-2022
https://doi.org/10.1007/978-3-031-18192-4_1
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Index Terms

Fair Charging Service Allocation for Electric Vehicles in the Power Distribution Grid
1. Hardware
  1. Power and energy
    1. Energy distribution
      1. Smart grid
2. Networks
  1. Network algorithms
    1. Control path algorithms
      1. Network resources allocation

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e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems

June 2019

589 pages

ISBN:9781450366717

DOI:10.1145/3307772

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 15 June 2019

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e-Energy '19

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SIGEnergy

e-Energy '19: The Tenth ACM International Conference on Future Energy Systems

June 25 - 28, 2019

AZ, Phoenix, USA

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Spanoudakis NAkasiadis CIatrakis GChalkiadakis G(2023)Engineering IoT-Based Open MAS for Large-Scale V2G/G2VSystems10.3390/systems1103015711:3(157)Online publication date: 19-Mar-2023
https://doi.org/10.3390/systems11030157
Fan GYang ZJin HGan XWang X(2022)Enabling Optimal Control Under Demand Elasticity for Electric Vehicle Charging SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2020.301512121:3(955-970)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TMC.2020.3015121
Akasiadis CIatrakis GSpanoudakis NChalkiadakis G(2022)An Open MAS/IoT-Based Architecture for Large-Scale V2G/G2VAdvances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection10.1007/978-3-031-18192-4_1(3-14)Online publication date: 13-Oct-2022
https://doi.org/10.1007/978-3-031-18192-4_1
Hekkelman BLa Poutré H(2020)Fairness in Power Flow Network Congestion Management with Outer Matching and Principal Notions of Fair DivisionProceedings of the Eleventh ACM International Conference on Future Energy Systems10.1145/3396851.3397701(106-115)Online publication date: 12-Jun-2020
https://dl.acm.org/doi/10.1145/3396851.3397701

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Recommendations

Challenges in Scheduling Electric Vehicle Charging with Discrete Charging Rates in AC Power Networks

Decentralised online charging scheduling for large populations of electric vehicles: a cyber-physical system approach

Coordination Dispatch of Electric Vehicles Charging/Discharging and Renewable Energy Resources Power in Microgrid

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