A Trading Mode Based on the Management of Residual Electric Energy in Electric Vehicles

Xiuli Wang, Junkai Wei (), Fushuan Wen and Kai Wang
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Xiuli Wang: School of Electric Power and Architecture, Shanxi University, Taiyuan 030006, China
Junkai Wei: School of Electric Power and Architecture, Shanxi University, Taiyuan 030006, China
Fushuan Wen: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Kai Wang: State Grid Shanxi Electric Power Company, Taiyuan 030021, China

Energies, 2023, vol. 16, issue 17, 1-23

Abstract: Aiming at the distributed resources of electric vehicles with photovoltaics (PVs) on the user side, a trading mode of surplus energy sharing for electric vehicles based on the user-side PVs is proposed by utilizing the bidirectional mobility of information and energy. Power transfer can be implemented between different electric vehicle users through vehicle-to-grid (V2G) technology with a reasonable distribution of benefits taken into account. First, the operational framework of electric energy trading is presented, and the transmission architecture of each body of interest in the system is analyzed. Second, the portraits of EV users’ charging behaviors are established considering their different charging habits, and electric vehicle users are divided into electricity buyers and sellers in each trading time period. An electricity transaction model based on “multi-seller–multi-buyer” is established, and all electricity transactions are realized through blockchain-based decentralized technology. Finally, the benefit to each interest group is maximized using the improved Northern Goshawk Optimization (NGO) algorithm. Simulation results of a sample system indicate that the new power trading mode proposed in this study could lead to reasonable reuse of the electric energy of private electric vehicles and can achieve a win–win situation for all stakeholders.

Keywords: user-side photovoltaic; electric energy sharing; vehicle-to-grid (V2G); electric vehicle user portrait; blockchain (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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