CN

Mingyu YanYAN MING YU

研究员(自然科学)    Supervisor of Doctorate Candidates    Supervisor of Master's Candidates

  • Professional Title:研究员(自然科学)
  • Gender:Male
  • Status:Employed
  • Department:School of Electrical and Electronic Engineering
  • Education Level:Postgraduate (Doctoral)
  • Degree:Doctoral Degree in Engineering

Paper Publications

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Optimal transactive energy trading of electric vehicle charging stations with on-site PV generation in constrained power distribution networks

Release time:2022-03-01
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Journal paper
Document Code:
21605345
First Author:
Larissa Affolabi
Correspondence Author:
Mohammad Shahidehpour
Co-author:
Wei Gan,Mingyu Yan,Bo Chen,Shikhar Pandey,Aleksandar Vukojevic,Esa Aleksi Paaso,Ahmed Alabdulwahab,Abdullah Abusorrah
Journal:
IEEE Transactions on Smart Grid
Included Journals:
SCI
Place of Publication:
United States
Discipline:
Engineering
First-Level Discipline:
Electrical Engineering
Document Type:
J
Volume:
13
Issue:
2
Page Number:
1427 - 1440
ISSN No.:
1949-3053
Key Words:
EV charging stations, two-level transactive energy, asymmetric Nash bargaining.
DOI number:
10.1109/TSG.2021.3131959
Date of Publication:
2022-03-01
Impact Factor:
10.275
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. 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.
Links to published journals:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9631945