电力建设2025，Vol.46Issue(6)：92-105,14.DOI:10.12204/j.issn.1000-7229.2025.06.008
考虑电动汽车充电功率分段调节的主从博弈调度优化
Optimized Scheduling Under Master-Slave Game Considering Charging Power Segmental Regulation of Electric Vehicles
摘要
Abstract
[Objective]Electric vehicles(EVs)and distributed resources are crucial for advancing"dual carbon"targets,with microgrid-based aggregated game scheduling representing one of the effective regulation forms.However,existing scheduling strategies mostly overlook the segmented regulation capability of orderly charging,hindering further optimization of charging prices and constraining flexible coordination between charging loads and distributed resources,thereby affecting the overall economic and low-carbon benefits.[Methods]First,we establish a scheduling framework with multi-agent aggregators as the leading entities and EVs as the following entities,formulating dynamic charging prices and aggregators' electricity selling prices while considering carbon trading.Second,we design a segmented regulation strategy for EV charging power capable of flexibly adjusting the charging power and duration while satisfying the charging requirements of EV users.Finally,to address challenges such as increased equilibrium game variables and decreased computation speed resulting from segmented regulation,we adopt an improved Kriging meta-model for solving,reducing the computational load,and improving the solving efficiency.[Results]The simulation results show that the proposed method reduces charging and aggregation operating costs under the combined effect of the segmented adjustable charging strategy and dynamic charging price.The operating costs of the EV aggregators were reduced by 15.1％;moreover,the load peak-valley difference could also be optimized.Compared with the disorderly charging scenarios,the peak-valley difference rate of the proposed method was reduced by 11.6％while reducing the carbon emissions caused by EV charging.[Conclusions]The flexibility of EV grid connection adjustment was improved by optimizing the charging power through a segmented adjustment.The joint action of EV dynamic charging prices and distributed resource aggregator electricity prices helped realize the low-carbon complementary advantages of EV and different distributed resources,resulting in reduced carbon emissions while achieving good peak shaving and valley filling effects.关键词
电动汽车/有序充电/充电成本/主从博弈/碳交易Key words
electric vehicle/orderly charging/charging cost/master-slave game/carbon trading分类
信息技术与安全科学引用本文复制引用
滕长龙,胡秦然,季振亚,钱涛,梁以恒..考虑电动汽车充电功率分段调节的主从博弈调度优化[J].电力建设,2025,46(6):92-105,14.基金项目
国家自然科学基金青年项目(52107100) （52107100）
国家自然科学基金面上项目(52277086) （52277086）
综合交通运输理论交通运输行业重点实验室(南京现代综合交通实验室)开放课题资助课题(MTF2023002) This work is supported by the National Natural Science Foundation of China for Youth Program(No.52107100),the National Natural Science Foundation of China for General Program(No.52277086)and the Ministry of Transport of PRC Key Laboratory of Transport Industry of Comprehensive Transportation Theory(Nanjing Modern Multimodal Transportation Laboratory)(No.MTF2023002). （南京现代综合交通实验室）
