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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1519963
This article is part of the Research Topic Urban Multi-energy System Networks with High Proportion of Renewable Energy View all 6 articles

Low carbon scheduling strategy for electric vehicles considering carbon emission flow and dynamic electricity prices

Provisionally accepted
Jianlin Tang Jianlin Tang 1*Houpeng Hu Houpeng Hu 2Bin Qian Bin Qian 1Yanhong Xiao Yanhong Xiao 2Jiaxiang Ou Jiaxiang Ou 2Xiaoming Lin Xiaoming Lin 1Peilin He Peilin He 2Fan Zhang Fan Zhang 1
  • 1 CSG Electric Power Research Institute Co., Ltd, Guangzhou, China
  • 2 Guizhou Power Grid Co., Ltd, Guiyang, Guizhou Province, China

The final, formatted version of the article will be published soon.

    As the global environmental pollution problem intensifies, the carbon reduction transformation of the power system is urgent. In order to solve the problem of unclear carbon flow and distribution in the operation of the power grid, as well as the mismatch between static time of use electricity prices and peak and valley periods in the scheduling of electric vehicle charging loads, a multi period dynamic electricity price guidance strategy based on carbon emission flow theory is proposed. Firstly, based on the accurate power flow results of the power system, a complex power distribution matrix of the power system is constructed to obtain the distribution of the power generated by the generator units in each node of the network; Then, the Monte Carlo random sampling method is used to simulate the load situation of electric vehicles in a disordered charging state. Based on the carbon trading model, a mathematical model is established with the goal of minimizing the load difference at the grid end and maximizing the cost of charging on the user side; Finally, the proposed ordered charging method with multi period dynamic electricity pricing strategy is compared with unordered charging, and considering the participation of electric vehicles in carbon trading, this strategy effectively reduces the peak valley difference of the power grid and user charging costs.

    Keywords: Electric vehicles1, dynamic electricity price2, carbon emission flow3, carbon trading4, orderly charging5

    Received: 30 Oct 2024; Accepted: 15 Nov 2024.

    Copyright: © 2024 Tang, Hu, Qian, Xiao, Ou, Lin, He and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianlin Tang, CSG Electric Power Research Institute Co., Ltd, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.