基于碳交易竞价博弈的电动汽车电力-碳联合优化调度

葛晓琳; 李岩; 曹士鹏

葛晓琳,李岩,曹士鹏.基于碳交易竞价博弈的电动汽车电力-碳联合优化调度[J].电测与仪表,2025,62(2):117-124.
GE Xiaolin,LI Yan,CAO Shipeng.Electric vehicle power-carbon joint optimal dispatching based on carbon trading bidding game[J].Electrical Measurement & Instrumentation,2025,62(2):117-124.

基于碳交易竞价博弈的电动汽车电力-碳联合优化调度

Electric vehicle power-carbon joint optimal dispatching based on carbon trading bidding game

DOI：10.19753/j.issn1001-1390.2025.02.015

中文关键词: 碳交易碳配额电动汽车谈判函数模糊贝叶斯学习

英文关键词:carbon trading, carbon quota, electric vehicle, negotiation function, fuzzy Bayesian learning

基金项目:国家自然科学基金项目(52077130)；上海市青年科技启明星计划项目(21QA1403500)；上海绿色能源并网工程技术研究中心项目(13DZ2251900)

作者中文名	作者英文名	单位
葛晓琳	GE Xiaolin	上海电力大学电气工程学院
李岩	LI Yan	上海电力大学电气工程学院
曹士鹏	CAO Shipeng	上海电力大学电气工程学院

摘要点击次数: 348

中文摘要:

电动汽车规模化的推广为实现双碳目标提供了有力的支撑。然而在碳交易过程中，如何考虑电力与碳的耦合关系以及电动汽车的参与意愿是目前面临的重要挑战。为此，针对电力市场和碳交易市场之间的复杂关联特性，利用C&CG(column-and constraint generation)算法将电力市场模型和碳交易市场模型进行解耦，并基于各电力单元出力的耦合变量进行迭代运算，协调优化发电调度成本和碳排放量。此外针对电动汽车参与碳交易市场时既要考虑充放电功率的物理边界约束，又需要兼顾个体利益，研究了电动汽车与常规机组在参与碳交易时的谈判策略，建立了基于模糊贝叶斯学习的碳交易价格双边谈判函数模型，最终博弈得到优化后的碳交易价格，以提升电动汽车参与碳减排的积极性。通过各种典型场景对比分析了所提模型的经济效益和碳减排效果。

英文摘要:

The large-scale promotion of electric vehicles provides strong support for the realization of the dual-carbon goal. However, in the process of carbon trading, how to consider the coupling relationship between electricity and carbon and the willingness to participate in electric vehicles are currently important challenges. To this end, in view of the complex correlation characteristics between the power market and the carbon trading market, the column-and constraint generation (C&CG) algorithm is used to decouple the power market model and the carbon trading market model, and iterative calculations are performed based on the coupled variables of the output of each power unit to coordinate and optimize the power generation scheduling cost and carbon footprint. In addition, considering the physical boundary constraints of charging and discharging power and individual interests when electric vehicles participate in the carbon trading market, the negotiation strategy of electric vehicles and conventional units when participating in carbon trading is studied, and a fuzzy Bayesian learning-based model is established. The carbon trading price bilateral negotiation function model is based on the carbon trading price, and the optimized carbon trading price is obtained in the final game, so as to enhance the enthusiasm of electric vehicles to participate in carbon emission reduction. The economic benefits and carbon emission reduction effects of the proposed model are compared and analyzed through various typical scenarios.

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