Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2025-04-24 DOI:10.1109/ACCESS.2025.3563994

Yanhong Xiao;Bin Qian;Jiaxiang Ou;Weibin Lin;Houpeng Hu;Xiaoming Lin;Yuedan Deng;Jianlin Tang

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Abstract

This study proposes an optimized dispatch model for integrated energy systems (IES) incorporating electric vehicles (EVs) and carbon emission trading (CET) to analyze their dynamic interactions. The model aims to minimize IES operating costs by systematically evaluating the impacts of EV penetration levels and CET parameters on economic and environmental performance. Methodologically, Monte Carlo simulations characterize stochastic EV behaviors, a stepwise CET mechanism is developed with emission thresholds, and piecewise linearization combined with convex relaxation transforms nonlinear constraints into tractable formulations. The YALMIP/GUROBI solver is employed to compare eight dispatch scenarios. Key results demonstrate that integrating EVs with carbon capture under CET reduces operating costs by 7.64% and emissions by 17.68%. System emissions exhibit a U-shaped relationship with EV penetration, reaching a minimum at 9.20%. Maximum emission reductions from EV charging optimization occur when CET prices range 250-300 CNY/ton and EV penetration spans 12.31%-19.43%, providing critical thresholds for policy design.

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考虑电动汽车和碳排放交易的综合能源系统优化调度

本文提出了一个包含电动汽车和碳排放交易的综合能源系统的优化调度模型，以分析两者的动态交互关系。该模型旨在通过系统评估电动汽车普及率和CET参数对经济和环境绩效的影响，最大限度地降低IES的运营成本。在方法上，蒙特卡罗模拟表征了随机EV行为，建立了具有发射阈值的逐步CET机制，并结合凸松弛的分段线性化将非线性约束转换为可处理的公式。使用YALMIP/GUROBI求解器对8种调度场景进行比较。关键结果表明，在CET下，将电动汽车与碳捕集相结合，运营成本降低7.64%，排放降低17.68%。系统排放与电动汽车渗透率呈u型关系，在9.20%时达到最小值。电动汽车充电优化减排的最大阈值出现在能源价格为250-300元/吨、电动汽车普及率为12.31%-19.43%时，为政策设计提供了关键阈值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

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