Two-Stage TSO-DSO Services Provision Framework for Electric Vehicle Coordination
Yi Wang, Dawei Qiu, Fei Teng, Goran Strbac
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
High renewable penetration has been witnessed in power systems, resulting in reduced system inertia and increasing requirements for frequency response services. Electric vehicles (EVs), owing to their vehicle-to-grid (V2G) capabilities, can provide cost-effective frequency services for transmission system operators (TSOs). However, EVs that are inherently connected to distribution networks may pose voltage security issues for distribution system operators (DSOs) when supporting TSO frequency. To coordinate both TSO frequency and DSO voltage, this paper proposes a two-stage service provision framework for multi-EVs. At stage one, EVs participate in day-ahead TSO-DSO interactions for frequency reserve schedules; at stage two, EVs make real-time dispatching behaviors in distribution networks for reserve delivery while supporting DSO voltage. Considering the potentially large EV number and environment complexity, a decentralized operation paradigm is introduced for real-time EV dispatches at stage two, while a communication-efficient reinforcement learning (RL) algorithm is proposed to reduce the communication overhead during large-scale multi-agent RL training without compromising policy performance. Case studies are carried out on a 6-bus transmission and 33-bus distribution network as well as a 69-bus distribution network to evaluate the effectiveness and scalability of the proposed method in enabling EVs for frequency service and voltage support.
关键词
相关论文
面向学习与规划的并行可微可达性:具有认证神经动力学与控制器的系统
Keyi Shen, Glen Chou
2026
人工智能增强的智能焊接岛:基础模型革新制造业
Xiwei Wu, Wei Wu, Qiqi Chen 等 9 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于深度强化学习和动态图神经网络的多任务机器人调度代理
Hedi Boukamcha, Anas Neumann, Monia Rekik 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于微调与AAS增强检索的LLM驱动自动化DFA评估
Jiaxin Liu, Xiaofeng Zhou, Suyang Yu 等 8 位作者
Robotics and Computer-Integrated Manufacturing · 2026