Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading

Jianxiao Wang; Zhaoyuan Wu; Ershun Du; Ming Zhou; Gengyin Li; Yining Zhang; Le Yu

doi:10.17775/CSEEJPES.2019.01330

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Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading

Special Section Papers | 更新时间：2025-12-19

- Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading
- Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading
- 中国电机工程学会电力与能源系统学报(英文) 2020年6卷第1期页码：31-40
- 作者机构：
  
  1. School of Electrical and Electronic Engineering, North China Electric Power University,Beijing,China
  2. Department of Electrical Engineering, Tsinghua University,Beijing,China
  3. Zhidao Hechuang Tech Co. Ltd.,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.01330
  中图分类号：
- 纸质出版：2020
- 稿件说明：
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Jianxiao Wang, Zhaoyuan Wu, Ershun Du, 等. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):31-40.

Jianxiao Wang, Zhaoyuan Wu, Ershun Du, et al. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 31-40.
Jianxiao Wang, Zhaoyuan Wu, Ershun Du, 等. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):31-40. DOI： 10.17775/CSEEJPES.2019.01330.

Jianxiao Wang, Zhaoyuan Wu, Ershun Du, et al. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 31-40. DOI： 10.17775/CSEEJPES.2019.01330.

摘要

Abstract

The increasing penetration of plug-in electric vehicles (PEVs) has highlighted the importance of coordinating ubiquitous distributed energy resources (DERs) via the internet of things (IoT). With the help of vehicle-to-grid (V2G) technology

PEVs can be aggregated to behave as a storage system

yielding both economic and environmental benefits. In this paper

we propose an optimal bidding framework for a V2G-enabled regional energy internet (REI) to participate in day-ahead markets considering carbon trading. The REI operator aims to maximize the net profits from day-ahead markets while anticipating realtime adjustments. A detailed battery model is developed to depict the charging and discharging capability of V2G-enabled PEVs. A two-stage stochastic optimization model is formulated to schedule the operation of PEV fleets against various sources of uncertainties

e.g.

the arrival and departure time of PEVs

solar power and real-time prices. Case studies undertaken based on realistic datasets demonstrate that the coordination of the V2G-enabled PEVs and other DERs can facilitate the accommodation of renewable energy

thus improving the REI's revenues in energy and carbon markets.

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