电测与仪表2025，Vol.62Issue(8)：11-19,9.DOI:10.19753/j.issn1001-1390.2025.08.002
计及电动汽车碳交易的电力系统经济调度方法
Economic dispatching method of electric power system considering carbon trading of electric vehicles
摘要
Abstract
Electric vehicles(EV)have both source and load properties.In order to highlight their positive role in regulating grid load,promoting renewable energy consumption and reducing carbon emissions,this paper constructs an economic dispatching model of electric power system considering carbon trading of EV.Based on the EV char-ging scenario,the charging mode is subdivided and the quantified analysis method of schedulable capability is pro-posed.Furthermore,by referring to the carbon emission of traditional fuel vehicles,the carbon quota of EV is ana-lyzed and the carbon trading mechanism of EV is constructed.An optimization model was constructed with the goal of minimizing the total cost of the power generation and carbon emissions of system.The grey wolf optimization(GWO)algorithm is used and the dynamic step evolution strategy and criss-cross strategy are introduced to improve the solving efficiency of economic dispatching model.Example analysis shows that the improved algorithm has high-er iteration efficiency and higher solving accuracy.The model can reduce the load peak-valley difference and real-ize"peak cutting and valley filling".The carbon trading mechanism in the model can guide EV to prioritize the consumption of renewable energy when charging,which improves the consumption rate of renewable energy and re-duces the carbon emission cost of the system.关键词
电动汽车/充电模式/可调度能力/碳配额/碳交易/灰狼算法/经济调度Key words
electric vehicles/charging mode/schedulable capability/carbon quota/carbon trading/grey wolf op-timization algorithm/economic dispatching分类
信息技术与安全科学引用本文复制引用
黄敬尧,张扬,张丙旭..计及电动汽车碳交易的电力系统经济调度方法[J].电测与仪表,2025,62(8):11-19,9.基金项目
国家自然科学基金资助项目(51907104) （51907104）
