Low-Carbon Scheduling of Integrated Electricity and Gas Distribution System Considering V2G

Yicheng Li, Lixiong Xu (), Xiangmei Lv and Yiran Xiao
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Yicheng Li: College of Electrical Engineering, Sichuan University, Chengdu 610017, China
Lixiong Xu: College of Electrical Engineering, Sichuan University, Chengdu 610017, China
Xiangmei Lv: College of Electrical Engineering, Sichuan University, Chengdu 610017, China
Yiran Xiao: College of Electrical Engineering, Sichuan University, Chengdu 610017, China

Energies, 2022, vol. 15, issue 24, 1-18

Abstract: With the development of EVs (Electric Vehicles) and the rapidly developing policies on low carbon and environmental protection, electric power systems and natural gas systems become increasingly larger. Under these circumstances, the V2G (Vehicle-to-grid) and the coordinated operation of an integrated electricity–gas distribution system (IEGDS), considering CO 2 emissions, can play a part together in the process of energy conservation. Firstly, the V2G model is discussed; this paper presents the cost differences between out-of-order and order for the car. Secondly, the IEGDS model presents coupling constraints of gas turbines and power-to-gas. Lastly, carbon emission is considered in this paper; a carbon capture plant (CCP) captures the CO 2 burning by fossil fuel in the power generation process and stores it in a carbon storage tank. This paper also considers trading with the carbon market via a carbon storage warehouse. With the cooperation of various components, a comprehensive model considers the use of V2G to store power in the IEGDS system, with consideration of the carbon trade. Numerical experiments validate the effectiveness of the combination between V2G and IEGDS, considering carbon emissions and carbon trading.

Keywords: V2G; power system; evaluation methods; natural gas system; integrated electricity–gas system; carbon emission; carbon trade (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: 2022
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