Optimal transactive energy trading of electric vehicle charging stations with on-site PV generation in constrained power distribution networks
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论文类型:期刊论文
论文编号:21605345
第一作者:Larissa Affolabi
通讯作者:Mohammad Shahidehpour
合写作者:Wei Gan,Mingyu Yan,Bo Chen,Shikhar Pandey,Aleksandar Vukojevic,Esa Aleksi Paaso,Ahmed Alabdulwahab,Abdullah Abusorrah
发表刊物:IEEE Transactions on Smart Grid
收录刊物:SCI
刊物所在地:美国
学科门类:工学
一级学科:电气工程
文献类型:J
卷号:13
期号:2
页面范围:1427 - 1440
ISSN号:1949-3053
关键字:EV charging stations, two-level transactive energy, asymmetric Nash bargaining.
DOI码:10.1109/TSG.2021.3131959
发表时间:2022-03-01
影响因子:10.275
摘要: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.
发布期刊链接:https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9631945