Optimization of Electric Vehicles Based on Frank-Copula- GlueCVaR Combined Wind and Photovoltaic Output Scheduling Research

Jianwei Gao, Yu Yang, Fangjie Gao and Pengcheng Liang
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Jianwei Gao: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China
Yu Yang: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China
Fangjie Gao: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China
Pengcheng Liang: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China

Energies, 2021, vol. 14, issue 19, 1-15

Abstract: Improving the efficiency of renewable energy and electricity utilization is an urgent problem for China under the objectives of carbon peaking and carbon neutralization. This paper proposes an optimization scheduling method of electric vehicles ( EV ) combined with wind and photovoltaic power based on the Frank-Copula- GlueCVaR . First, a joint output model based on copula theory was built to describe the correlation between wind and photovoltaic power output. Second, the Frank-Copula- GlueCVaR index was introduced in a novel way. Operators can now predetermine the future wind-photovoltaic joint output range based on this index and according to their risk preferences. Third, an optimal scheduling model aimed at reducing the group charging cost of EV s was proposed, thereby encouraging EV owners to participate in the demand response. Fourth, this paper: proposes the application of a Variant Roth–Serve algorithm; regards the EV group as a multi-intelligent group; and finds the Pareto optimal strategy of the EV group through continuous learning. Finally, case study results are shown to effectively absorb more renewable energy, reduce the consumption cost of the EV group, and suppress the load fluctuation of the whole EV group, which has a practical significance and theoretical value.

Keywords: renewable energy; carbon neutralization; wind-photovoltaic; demand response; Frank-Copula- GlueCVaR (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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