Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network

As distributed renewable energy (DRE) generation technologies advance and transportation electrification deepens, electric vehicle charging stations (EVCSs) equipped with DRE will quickly proliferate in the near future. This paper, thus, proposes a distributed energy trading framework for EVCSs equi...

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Main Authors: Xianlong Chen, Xiuli Wang, Zelong Lu, Jing Huang, Yijun Huang
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723006704
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author Xianlong Chen
Xiuli Wang
Zelong Lu
Jing Huang
Yijun Huang
author_facet Xianlong Chen
Xiuli Wang
Zelong Lu
Jing Huang
Yijun Huang
author_sort Xianlong Chen
collection DOAJ
description As distributed renewable energy (DRE) generation technologies advance and transportation electrification deepens, electric vehicle charging stations (EVCSs) equipped with DRE will quickly proliferate in the near future. This paper, thus, proposes a distributed energy trading framework for EVCSs equipped with distributed photovoltaic (PV) system considering transportation network (TN). The framework contains the electric vehicle allocation problem (EAP) in TN and the distributed energy trading (DET) problem among EVCSs. The target of EAP is minimizing the whole time cost of TN. Therefore, the EV quantities in each EVCS can be obtained after solving the EAP problem by introducing the time cost coefficient. As for DET, this paper develops a distributed trading method among EVCSs derived from the Nash bargaining (NB) theory. The method considers not only the benefit of each participant itself, but also the fair distribution of the mutual profits among the participants at the same time. Numerical simulations are performed to validate the effectiveness and viability of the mentioned framework and models. The numerical results show that the EAP model can reasonably allocate the electric vehicles (EVs) that need to be charged. The operating profits of each EVCS can be significantly promoted by the DET among EVCSs. In addition, the proposed distributed solution methodology can efficiently address DET problems and protect the business privacy of participants.
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spelling doaj.art-d04a5bb41a434dbc86e945530b1e81f22023-09-12T04:15:53ZengElsevierEnergy Reports2352-48472023-09-019819827Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation networkXianlong Chen0Xiuli Wang1Zelong Lu2Jing Huang3Yijun Huang4School of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi, 710049, People’s Republic of ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi, 710049, People’s Republic of ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi, 710049, People’s Republic of China; Corresponding author.School of Electrical Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi, 710049, People’s Republic of ChinaState Grid Shanghai Electric Power Company, Shanghai, 200122, People’s Republic of ChinaAs distributed renewable energy (DRE) generation technologies advance and transportation electrification deepens, electric vehicle charging stations (EVCSs) equipped with DRE will quickly proliferate in the near future. This paper, thus, proposes a distributed energy trading framework for EVCSs equipped with distributed photovoltaic (PV) system considering transportation network (TN). The framework contains the electric vehicle allocation problem (EAP) in TN and the distributed energy trading (DET) problem among EVCSs. The target of EAP is minimizing the whole time cost of TN. Therefore, the EV quantities in each EVCS can be obtained after solving the EAP problem by introducing the time cost coefficient. As for DET, this paper develops a distributed trading method among EVCSs derived from the Nash bargaining (NB) theory. The method considers not only the benefit of each participant itself, but also the fair distribution of the mutual profits among the participants at the same time. Numerical simulations are performed to validate the effectiveness and viability of the mentioned framework and models. The numerical results show that the EAP model can reasonably allocate the electric vehicles (EVs) that need to be charged. The operating profits of each EVCS can be significantly promoted by the DET among EVCSs. In addition, the proposed distributed solution methodology can efficiently address DET problems and protect the business privacy of participants.http://www.sciencedirect.com/science/article/pii/S2352484723006704Electric vehicle charging stationDistributed energy tradingNash bargainingDistributed algorithm
spellingShingle Xianlong Chen
Xiuli Wang
Zelong Lu
Jing Huang
Yijun Huang
Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
Energy Reports
Electric vehicle charging station
Distributed energy trading
Nash bargaining
Distributed algorithm
title Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
title_full Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
title_fullStr Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
title_full_unstemmed Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
title_short Distributed energy trading for electric vehicle charging stations equipped with distributed PV considering transportation network
title_sort distributed energy trading for electric vehicle charging stations equipped with distributed pv considering transportation network
topic Electric vehicle charging station
Distributed energy trading
Nash bargaining
Distributed algorithm
url http://www.sciencedirect.com/science/article/pii/S2352484723006704
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AT jinghuang distributedenergytradingforelectricvehiclechargingstationsequippedwithdistributedpvconsideringtransportationnetwork
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