Two-Stage TSO-DSO Services Provision Framework for Electric Vehicle Coordination

IF 7.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Power Systems Pub Date : 2024-12-03 DOI:10.1109/TPWRS.2024.3510653
Yi Wang;Dawei Qiu;Fei Teng;Goran Strbac
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Abstract

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.
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电动汽车协调的两阶段TSO-DSO服务提供框架
可再生能源在电力系统中的高度普及,导致系统惯性减少,对频率响应服务的要求增加。电动汽车(ev)由于其车辆到电网(V2G)的能力,可以为输电系统运营商(tso)提供具有成本效益的频率服务。然而,当支持TSO频率时,固有连接到配电网的电动汽车可能会给配电系统运营商(dso)带来电压安全问题。为了协调TSO频率和DSO电压,本文提出了一种两阶段的多电动汽车服务提供框架。阶段一,电动汽车参与日前TSO-DSO交互,进行频率储备调度;第二阶段,电动汽车在支持DSO电压的同时,在配电网中实时调度备用供电行为。考虑到潜在的EV数量和环境复杂性,在第二阶段引入了一种分散的EV调度模式,并提出了一种通信高效的强化学习(RL)算法,在不影响策略性能的情况下减少大规模多智能体RL训练过程中的通信开销。在6总线传输和33总线配电网以及69总线配电网上进行了案例研究,以评估所提出的方法在使电动汽车能够进行频率服务和电压支持方面的有效性和可扩展性。
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来源期刊
IEEE Transactions on Power Systems
IEEE Transactions on Power Systems 工程技术-工程:电子与电气
CiteScore
15.80
自引率
7.60%
发文量
696
审稿时长
3 months
期刊介绍: The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.
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