Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization
2024-12-19
会议录名称2024 IEEE 63RD CONFERENCE ON DECISION AND CONTROL (CDC)
ISSN0743-1546
页码4629-4634
DOI10.1109/CDC56724.2024.10886533
摘要This paper explores the impact of the burgeoning electric vehicle (EV) presence on distribution grid operations, highlighting the challenges they present to conventional pricing strategies due to their dual role as power consumers and suppliers, coupled with their energy storage capabilities. We propose an advanced real-time pricing model for the electricity market, employing a novel distributed bilevel optimization framework. This framework distinguishes between the distribution system operator (DSO) at the upper level and the EVs at the lower level, each aiming to optimize profit margins. The optimization includes power flow constraints at the upper level to ensure efficient operation within safe system limits, while model predictive control (MPC) is used to optimize lower-level EV responses. Additionally, we provide a rigorous convergence analysis of the proposed bilevel optimization method. Detailed convergence studies and simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
会议录编者/会议主办者Advanced Technologies for Human-Centered Medicine (Anthem) ; et al. ; Mathworks ; Mitsubishi Electric ; MOST Centro Nazionale per la Mobilita Sostenibile ; Quanser
关键词Vehicle-to-grid Bi-level optimization Distribution grid Dual role Energy Grid operation Power consumers Power suppliers Pricing mechanism Pricing strategy Real time pricing
会议名称63rd IEEE Conference on Decision and Control, CDC 2024
会议地点Milan, Italy
会议日期16-19 Dec. 2024
URL查看原文
收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20251118040460
EI主题词Predictive control systems
EISSN2576-2370
EI分类号706.1 Electric Power Systems ; 731.1 Control Systems
原始文献类型Conference article (CA)
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/418532
专题信息科学与技术学院
信息科学与技术学院_PI研究组_石远明组
信息科学与技术学院_硕士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University, China
2.EPFL
3.Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Germany
4.Automatic Control Laboratory, EPFL, Switzerland
5.Department of Electrical and Systems Engineering, Washington University in St. Louis, USA
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Jiawei You,Xinliang Dai,Yuning Jiang,et al. Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization[C]//Advanced Technologies for Human-Centered Medicine (Anthem), et al., Mathworks, Mitsubishi Electric, MOST Centro Nazionale per la Mobilita Sostenibile, Quanser:Institute of Electrical and Electronics Engineers Inc.,2024:4629-4634.
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