EAGER: Design of Distribution-Level Electricity Markets: Demarginalization and Decentralized Learning

EAGER：配电级电力市场的设计：去边缘化和去中心化学习

• 批准号: 2129631
• 负责人: Andrew Liu
• 金额: $ 22万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129631&HistoricalAwards=false
• 关键词: EAGER; Design; Distribution; Level; Electricity; EAGER; Design; Distribution; Level; Electricity

This NSF EAGER project aims to design new electricity markets for distribution-level power systems, which can enable small prosumers with renewable generation to directly trade energy at the distribution level. Such distribution-level markets face significant new challenges due to low marginal cost and high uncertainty of renewable generation, as well as decentralized decision making of a large number of prosumers. This project will bring transformative changes by developing new market structures that are radically different from the existing transmission-level markets, which greatly reduce price-volatility, eliminate price-fixing, encourage long-term investment, and improve grid reliability. This will be achieved by considering new energy products that are tailored to resources with low marginal costs and significant generation uncertainty. The intellectual merits of the project include (i) novel distribution-level market designs that will produce much more stable market prices and encourage investment despite uncertain long-run outlook of future operating conditions; and (ii) learning algorithms that enable small and inexperienced prosumers to learn how to bid in the market. The broader impacts of the project include (i) contributing to the increasing adoption of renewable energy, which benefits our society as a whole and is essential for the evolution towards a sustainable future; and (ii) training of students interested in future energy systems and dissemination of results to both academic and industry.While electricity markets at the transmission level are well-established, markets at the distribution level are still at their infancy. Replicating the market principles from the transmission-level market to the distribution level will likely produce highly volatile market prices, increase the financial risks of both consumers and suppliers, and may even incentivize price-manipulation. To address these challenges, this project will design novel plan-ahead usage-right markets for both energy and ancillary services that naturally lower price-volatility and greatly eliminate the potential for market-power abuse and price-fixing. Further, in view of the limited expertise and resources of prosumers, the project will design bidding-by-learning strategies to automate the bidding processes for rationality-bounded bidders who may not even know their own valuation of electricity consumption.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个NSF急切的项目旨在为分销级电源系统设计新的电力市场，这可以使具有可再生生成的小型生产商直接在分销水平上交易能源。由于边际成本低，可再生生成的高度不确定性以及对大量生产商的分散决策，因此这种分销级别的市场面临着重大的新挑战。该项目将通过开发与现有的传输级别市场根本不同的新市场结构来带来变革的变化，这些市场大大降低了价格挥发性，消除价格固定，鼓励长期投资并提高电网可靠性。这将通过考虑针对低边缘成本和大量产生不确定性的资源量身定制的新能源产品来实现。该项目的智力优点包括（i）新颖的分销水平市场设计，这些市场设计将产生更稳定的市场价格，并鼓励投资，尽管对未来运营条件的长期前景不确定； （ii）学习算法，使小且经验不足的生产商能够学习如何在市场上竞标。该项目的更广泛的影响包括（i）为不断增加的可再生能源采用的贡献，这使我们的整个社会受益，这对于向可持续未来的发展至关重要； （ii）培训对未来能源系统感兴趣的学生，并将结果传播到学术和行业。虽然传输水平的电力市场已经建立了良好的公认，但分销水平的市场仍处于起步阶段。从传输级市场到分销水平，将市场原则复制可能会产生高度波动的市场价格，增加消费者和供应商的财务风险，甚至可能激励价格操纵。为了应对这些挑战，该项目将针对能源和辅助服务设计新颖的计划用途市场，这些市场自然会降低价格挥发性，并极大地消除了滥用市场的潜力和定价。此外，考虑到有限的专业知识和造物资源，该项目将通过学习策略设计竞标策略，以自动化竞标过程，以实现理性竞标者的竞标过程，这些竞标者甚至可能不知道自己对电力消耗的估值。这项奖项反映了NSF的法定任务，并通过评估智能委员会进行了评估，并经过评估的智力效果。