CAREER: Risk-Sensitive Market Design for Power Systems: Scalable Learning and Pricing

职业：电力系统的风险敏感市场设计：可扩展的学习和定价

• 批准号: 2048065
• 负责人: Subhonmesh Bose
• 金额: $ 50万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2048065&HistoricalAwards=false
• 关键词: CAREER; Risk; Sensitive; Market; Design

The aggressive integration of renewable resources such as wind and solar exposes the power system to uncertainty in power supply. One cannot control when the sun shines or when the wind blows. This NSF CAREER project aims to make electricity markets meaningfully accommodate such uncertainties in their daily operations. Current electricity market processes take either a reactive or a conservative view towards uncertainty. This project will bring transformative change by adopting a risk-sensitive design paradigm--one that strikes a healthy balance between the two extremes. The intellectual merits of the project include novel approaches to combine recent advances from multiple domains including optimization theory, machine learning and networked markets to enable large-scale renewable integration in the power grid. The broader impacts of the project include wide applicability of research outcomes to other engineering domains, open-source approach to simulation design, an interdisciplinary curriculum development plan, and community engagement efforts with K-12 students and the power industry. Key research outcomes of this project will include risk-sensitive electricity market clearing formulations, efficient algorithmic frameworks to compute solutions to these formulations, and pricing design for market participants derived from these formulations. Some research tasks target implementable solutions for power systems. Others will develop new theoretical frameworks that apply broadly to other engineering context - for example, mechanisms to meaningfully combine historical measurements and simulated data in decision-making. Research outputs from computer simulations will be made available via GitHub and Jupyter Notebooks to make them verifiable and usable by other researchers. Inter-disciplinary course curricula combining power engineering with modern data science and economics will be developed. Teaching innovations will enhance classroom engagement and communication skills. Special attention will be paid to undergraduate involvement in research.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.

风能和太阳能等可再生资源的积极整合使电力系统面临电力供应的不确定性。你无法控制什么时候阳光普照，什么时候刮风。这个NSF CAREER项目旨在使电力市场在其日常运营中有意义地适应这种不确定性。当前的电力市场过程对不确定性采取被动或保守的观点。该项目将通过采用对风险敏感的设计范式带来变革性的变化-在两个极端之间取得健康的平衡。该项目的智力优势包括新的方法来结合联合收割机的最新进展，从多个领域，包括优化理论，机器学习和网络市场，使大规模的可再生能源整合在电网中。该项目更广泛的影响包括研究成果对其他工程领域的广泛适用性，模拟设计的开源方法，跨学科课程开发计划以及K-12学生和电力行业的社区参与努力。 该项目的主要研究成果将包括对风险敏感的电力市场清算公式，计算这些公式的解决方案的有效算法框架，以及从这些公式中得出的市场参与者的定价设计。一些研究任务针对电力系统的可实施的解决方案。其他人将开发新的理论框架，广泛适用于其他工程环境-例如，有意义地结合联合收割机的历史测量和决策模拟数据的机制。计算机模拟的研究成果将通过GitHub和Google Notebooks提供，以供其他研究人员验证和使用。将开发电力工程与现代数据科学和经济学相结合的跨学科课程。教学创新将提高课堂参与和沟通技能。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

Risk-Based Hosting Capacity Analysis in Distribution Systems

配电系统中基于风险的托管容量分析

• DOI: 10.1109/tpwrs.2023.3238846
• 发表时间: 2024
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Madavan, Avinash N.;Dahlin, Nathan;Bose, Subhonmesh;Tong, Lang
• 通讯作者: Tong, Lang

Pricing Conditional Value at Risk-Sensitive Economic Dispatch

风险敏感经济调度的条件价值定价

• DOI: 10.1109/pesgm46819.2021.9637845
• 发表时间: 2021
• 期刊: 2021 IEEE Power & Energy Society General Meeting (PESGM
• 作者: Ndrio, Mariola;Madavan, Avinash N.;Bose, Subhonmesh
• 通讯作者: Bose, Subhonmesh

A Stochastic Primal-Dual Method for Optimization with Conditional Value at Risk Constraints

条件风险价值约束下的随机原始对偶优化方法

• DOI: 10.1007/s10957-021-01888-x
• 发表时间: 2021
• 期刊: Journal of optimization theory and applications
• 影响因子: 1.9
• 作者: Madavan, Avinash N.;Bose, Subhonmesh
• 通讯作者: Bose, Subhonmesh