| 引用本文: | 张 良,王殿彬,戚佳金,等.基于动态碳排放因子的电动汽车低碳需求响应机制研究[J].电力系统保护与控制,2025,53(17):13-24.[点击复制] |
| ZHANG Liang,WANG Dianbin,QI Jiajin,et al.Research on low-carbon demand response mechanism for electric vehicles based on dynamic carbon emission factors[J].Power System Protection and Control,2025,53(17):13-24[点击复制] |
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| 摘要: |
| 传统电动汽车(electric vehicle, EV)需求响应模式的相关研究通常以电价激励为核心。从“电”视角展开，EV很难对实际碳排放变化做出响应。为此，综合考虑电网侧的碳排放水平、调峰需求与用户的充电需求，提出一种基于动态碳排放因子的低碳需求响应机制。该机制下，EV用户以时变区域碳排放因子为响应信号，实现“碳”视角用电调度优化。首先，对风光出力不确定性进行建模并搭建EV的能量-功率边界模型。然后，构建面向EV分时、分域的碳排放核算模型，并根据需求侧目标函数与约束条件建立基于动态碳排放因子的低碳需求响应机制模型。最后，将该机制应用于EV有序充放电策略，通过算例验证了该机制可以有效减少配电网的碳排放、降低EV车主充电成本、平抑配电网的负荷波动。 |
| 关键词: 电动汽车 动态碳排放因子 碳配额 车-网互动 碳排放流 削峰填谷 |
| DOI：10.19783/j.cnki.pspc.247008 |
| 投稿时间：2024-09-28修订日期：2025-03-09 |
| 基金项目:吉林省重大科技专项课题项目资助(20240204001SF) |
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| Research on low-carbon demand response mechanism for electric vehicles based on dynamic carbon emission factors |
| ZHANG Liang1,WANG Dianbin1,QI Jiajin2,YIN Shucong1,LONG Yanliang1,ZHANG Chaorui1 |
| (1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of
Education (Northeast Electric Power University), Jilin 132012, China; 2. Hangzhou Electric Power
Equipment Manufacturing Company Limited, Hangzhou 310016, China) |
| Abstract: |
| Traditional research on demand response models for electric vehicles (EVs) typically focuses on electricity price incentives. From the perspective of “electricity” alone, EVs struggle to respond effectively to actual carbon emission variations. To address this, this paper proposes a low-carbon demand response mechanism based on dynamic carbon emission factors, which comprehensively considers grid-side carbon emission levels, peak-shaving requirements, and users’ charging needs. In this mechanism, EV users utilize time-varying regional carbon emission factors as the response signals to achieve electricity scheduling optimization from a “carbon” perspective. First, a model is established to account for the uncertainty of wind and PV output, and an energy-power boundary model for EVs is developed. Next, a time- and zone-based carbon emission accounting model for EVs is constructed, and a low-carbon demand response mechanism model based on dynamic carbon emission factors is formulated according to demand-side objective functions and constraints. Finally, the mechanism is applied to coordinated EV charging/discharging strategies. Case studies demonstrate that the proposed mechanism can effectively reduce distribution network carbon emissions, lower charging costs for EV owners, and mitigate load fluctuations in the power grid. |
| Key words: electric vehicle dynamic carbon emission factor carbon quota vehicle-to-grid interaction carbon emission flow peak shaving and valley filling |
