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Title: Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks

Abstract

This paper presents a two-level transactive energy market framework, that enables energy trading among electric vehicle charging stations (EVCSs). At the lower level, the discharging capability of EVs and on-site PV generation are leveraged by individual EVCS for participating in the transactive trading with their peers. Once the lower-level trading is completed, EVCSs trade energy at the upper level through the power grid network managed by the distribution system operator (DSO). The upper-level market is cleared while satisfying the power distribution network constraints. A cooperative game-based model is proposed to model the energy trading among EVCSs. To this end, the asymmetric Nash bargaining method is applied to allocate the grand coalition's payoff to each EVCS at the upper-level market, while a weighted proportional allocation method is used to allocate individual EVCS's payoff to its respective EVs at the lower-level market. In this work, the upper-level market formulation is further decomposed into two subproblems representing an energy scheduling and trading subproblem which maximizes EVCS payoffs, and a bargaining subproblem which allocates EVCS payoffs. The effectiveness of the proposed framework for incentivizing transactive trades among EVs and EVCSs is validated in case studies.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [1]; ORCiD logo [4];  [5];  [5];  [5]; ORCiD logo [6]; ORCiD logo [6]
  1. Illinois Institute of Technology, Chicago, IL (United States)
  2. Illinois Institute of Technology, Chicago, IL (United States); King Abdulaziz Univ., Jeddah (Saudi Arabia)
  3. Huazhong Univ. of Science and Technology, Wuhan (China)
  4. Argonne National Lab. (ANL), Lemont, IL (United States)
  5. Commonwealth Edison Company, Oakbrook Terrace, IL (United States)
  6. King Abdulaziz Univ., Jeddah (Saudi Arabia)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
King Abdulaziz University. Deanship of Scientific Research (DSR); USDOE
OSTI Identifier:
1879205
Report Number(s):
TSG-00379-2021
Journal ID: ISSN 1949-3053; 177016
Grant/Contract Number:  
AC02-06CH11357; RG-10-135-40
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 13; Journal Issue: 2; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; EV charging stations; asymmetric Nash bargaining; two-level transactive energy

Citation Formats

Affolabi, Larissa, Shahidehpour, Mohammad, Gan, Wei, Yan, Mingyu, Chen, Bo, Pandey, Shikhar, Vukojevic, Aleksandar, Paaso, Esa Aleksi, Alabdulwahab, Ahmed, and Abusorrah, Abdullah. Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks. United States: N. p., 2021. Web. doi:10.1109/tsg.2021.3131959.
Affolabi, Larissa, Shahidehpour, Mohammad, Gan, Wei, Yan, Mingyu, Chen, Bo, Pandey, Shikhar, Vukojevic, Aleksandar, Paaso, Esa Aleksi, Alabdulwahab, Ahmed, & Abusorrah, Abdullah. Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks. United States. https://doi.org/10.1109/tsg.2021.3131959
Affolabi, Larissa, Shahidehpour, Mohammad, Gan, Wei, Yan, Mingyu, Chen, Bo, Pandey, Shikhar, Vukojevic, Aleksandar, Paaso, Esa Aleksi, Alabdulwahab, Ahmed, and Abusorrah, Abdullah. Wed . "Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks". United States. https://doi.org/10.1109/tsg.2021.3131959. https://www.osti.gov/servlets/purl/1879205.
@article{osti_1879205,
title = {Optimal Transactive Energy Trading of Electric Vehicle Charging Stations With On-Site PV Generation in Constrained Power Distribution Networks},
author = {Affolabi, Larissa and Shahidehpour, Mohammad and Gan, Wei and Yan, Mingyu and Chen, Bo and Pandey, Shikhar and Vukojevic, Aleksandar and Paaso, Esa Aleksi and Alabdulwahab, Ahmed and Abusorrah, Abdullah},
abstractNote = {This paper presents a two-level transactive energy market framework, that enables energy trading among electric vehicle charging stations (EVCSs). At the lower level, the discharging capability of EVs and on-site PV generation are leveraged by individual EVCS for participating in the transactive trading with their peers. Once the lower-level trading is completed, EVCSs trade energy at the upper level through the power grid network managed by the distribution system operator (DSO). The upper-level market is cleared while satisfying the power distribution network constraints. A cooperative game-based model is proposed to model the energy trading among EVCSs. To this end, the asymmetric Nash bargaining method is applied to allocate the grand coalition's payoff to each EVCS at the upper-level market, while a weighted proportional allocation method is used to allocate individual EVCS's payoff to its respective EVs at the lower-level market. In this work, the upper-level market formulation is further decomposed into two subproblems representing an energy scheduling and trading subproblem which maximizes EVCS payoffs, and a bargaining subproblem which allocates EVCS payoffs. The effectiveness of the proposed framework for incentivizing transactive trades among EVs and EVCSs is validated in case studies.},
doi = {10.1109/tsg.2021.3131959},
journal = {IEEE Transactions on Smart Grid},
number = 2,
volume = 13,
place = {United States},
year = {Wed Dec 01 00:00:00 EST 2021},
month = {Wed Dec 01 00:00:00 EST 2021}
}

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