Energy Revolution Research Consortium - Plus - EnergyREV - Market Design for Scaling up Local Clean Energy Systems

能源革命研究联盟 - Plus - EnergyREV - 扩大当地清洁能源系统的市场设计

• 批准号: EP/S031901/1
• 负责人: Stephen McArthur
• 金额: $ 63.95万
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS031901%2F1
• 关键词: Energy; Revolution; Research; Consortium; Plus

Smart local energy systems offer the new opportunity to unlock valuable demand flexibility from owners of distributed energy technologies, such as electric vehicles, home batteries and heat-pumps. When combined with consumer-level ICT infrastructure, these resources allow previously passive consumers to become 'prosumers' - consumers who can proactively manage their consumption, production and storage of energy.The smart local energy system demonstrators are expected to generate a range of local energy markets and platforms, offering new opportunities for prosumers to actively engage with the energy system. A wide variety of designs and business models for these markets and platforms are possible. Platforms are already operating that aggregate groups of prosumers and offer balancing services to National Grid. New markets for local flexibility services could enable prosumers to help manage voltage and thermal constraints, contributing to distribution system resilience. Markets for direct peer-to-peer energy trading have also been proposed, which would offer a win-win for prosumers, and the system as a whole, by facilitating the use of flexible resources to help match local supply and demand. To ensure local energy markets create value locally, and can successfully scale up, energy market and regulatory arrangements will need adjustment. The major opportunity is for local energy markets to be integrated at the national scale, with clean local energy and flexibility reducing the need for large investments in generation and transmission infrastructure. Achieving this scale-up will require new market design frameworks and supporting technologies, with prosumer preferences and behaviours of central importance. The project aims to answer the research question: "How can local and system-level energy markets be designed to successfully integrate local clean energy systems at the national scale?" High performance computing will be used for large-scale simulation, to study the interactions between local energy markets operating in parallel at different time scales and physical scales. This will facilitate the design of new local and system-level coordination mechanisms and policies, and allow their impact to be evaluated. The project will enhance the value offered by the Energy Revolution Research Consortium by providing novel insights and quantitative evidence which can be shared with the smart local energy system demonstrators as well as policy-makers.

智能本地能源系统提供了新的机会，可以从分布式能源技术（例如电动汽车，家用电池和热泵）的所有者中解锁有价值的需求灵活性。当与消费者级的ICT基础设施结合使用时，这些资源使以前的被动消费者能够成为“生产商”（可以主动管理其消费，生产和能源存储的消费者。智能的本地能源系统示威者有望产生一系列本地能源市场和平台，从而为Prosumers提供新的机会，以便为能源系统提供新的机会。这些市场和平台的各种设计和业务模型是可能的。平台已经在运行该汇总的生产者组，并为国家电网提供平衡服务。局部灵活性服务的新市场可以使生产者能够帮助管理电压和热约束，从而有助于分配系统的弹性。还提出了直接点对点能源交易的市场，该市场将通过促进使用灵活的资源来帮助当地供应和需求，为整个制造商提供双赢。为了确保当地能源市场在本地创造价值，并可以成功扩大规模，能源市场和监管安排将需要调整。主要的机会是将当地能源市场融入国家规模，清洁的本地能源和灵活性减少了对生成和传输基础设施的大量投资的需求。实现这一规模将需要新的市场设计框架和支持技术，并具有最重要的偏好和行为。该项目旨在回答研究问题：“如何将本地和系统级别的能源市场旨在成功地将当地清洁能源系统整合到国家规模上？”高性能计算将用于大规模模拟，以研究在不同时间尺度和物理尺度下并行运行的本地能源市场之间的相互作用。这将有助于设计新的本地和系统级协调机制和政策，并允许对其影响进行评估。该项目将通过提供新颖的见解和定量证据来增强能源革命研究联盟所提供的价值，这些证据可以与智能的本地能源系统示威者以及政策制定者共享。

项目成果

Scalable multi-agent reinforcement learning for distributed control of residential energy flexibility

• DOI: 10.1016/j.apenergy.2022.118825
• 发表时间: 2022-03-22
• 期刊: APPLIED ENERGY
• 影响因子: 11.2
• 作者: Charbonnier, Flora;Morstyn, Thomas;McCulloch, Malcolm D.
• 通讯作者: McCulloch, Malcolm D.

An insurance mechanism for electricity reliability differentiation under deep decarbonization

深度脱碳下电力可靠性差异化保障机制

• DOI: 10.1016/j.apenergy.2022.119356
• 发表时间: 2022
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: Billimoria F

Home Electricity Data Generator (Hedge): An Open-Access Tool for the Generation of Electric Vehicle, Residential Demand, and Pv Generation Profiles

家庭电力数据生成器（Hedge）：用于生成电动汽车、住宅需求和光伏发电概况的开放访问工具

• DOI: 10.2139/ssrn.4627733
• 发表时间: 2023
• 作者: Charbonnier F

The long term future for community energy in Great Britain: A co-created vision of a thriving sector and steps towards realising it

英国社区能源的长期未来：共同创造繁荣部门的愿景以及实现该愿景的步骤

• DOI: 10.1016/j.erss.2021.102044
• 发表时间: 2021
• 期刊: Energy Research & Social Science
• 影响因子: 6.7
• 作者: Braunholtz-Speight T

Coordination of resources at the edge of the electricity grid: systematic review and taxonomy

• DOI: 10.1016/j.apenergy.2022.119188
• 发表时间: 2022-02
• 期刊: ArXiv
• 作者: F. Charbonnier;Thomas Morstyn;M. Mcculloch