Collaborative Research: CPS: Medium: Enabling DER Integration via Redesign of Information Flows

协作研究：CPS：中：通过重新设计信息流实现 DER 集成

• 批准号: 2136197
• 负责人: Adam Wierman
• 金额: $ 40万
• 依托单位: California Institute of Technology
• 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: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2136197&HistoricalAwards=false
• 关键词: Collaborative; Research; CPS; Medium; Enabling

This NSF CPS project aims to redesign the information structure utilized by system operators in today's electricity markets to accommodate technological advances in energy generation and consumption. The project will bring transformative change to power systems by incentivizing and facilitating the integration of non-conventional energy resources via a principled design of bidding, aggregation, and market mechanisms. Such integration will provide operators with the necessary flexibility to operate a network with high levels of renewable penetration. This will be achieved by a comprehensive bottom-down approach that will first identify the intrinsic cost of utilizing novel renewable resources and accommodate the operational ecosystem accordingly. The intellectual merits of the project include novel theories and algorithms for operating a vast number of distributed resources and testbed implementations of markets and controls. The project's broader impacts include K-12 and undergraduate programs, including in-class and extra-curricular STEM activities through, e.g., Hopkins in-class and extra-curricular STEM activities, and the Caltech WAVE summer research program.Introducing distributed energy resources (DERs) at a large scale requires rethinking power grid operations to account for increased uncertainty and new operational constraints. The proposed research undertakes this task by overhauling the information structure that markets and grid controls utilize. We seek to characterize and shape how information is exchanged and used to manage the grid to improve efficiency, stability, and incentive alignment. The research is organized into three thrusts. Thrust 1 emphasizes the role of information in coordination. It seeks to characterize DER costs and constraints, designing bidding strategies tailored to convey information about the atypical characteristics of DER costs. Thrust 2 aims to develop aggregation strategies that efficiently manage resources by accounting for their cost and constraints, integrating DERs via an aggregate bid that protects sensitive user information and is robust to market manipulation. Finally, Thrust 3 characterizes the overall impact of DERs on operations. We will examine how user incentives that span across markets implicitly couple market outcomes and develop design mechanisms to mitigate inter-market price manipulation. We will also design pricing schemes that provide efficient DER allocation while preserving real-time operational constraints such as frequency regulation.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.

NSF CPS项目旨在重新设计当今电力市场中系统运营商使用的信息结构，以适应能源生产和消费的技术进步。该项目将通过招标、聚合和市场机制的原则设计，激励和促进非常规能源资源的整合，从而给电力系统带来革命性的变化。这种整合将为运营商提供必要的灵活性，以运营具有高水平可再生能源渗透率的网络。这将通过一种全面的自下而上的方法来实现，该方法将首先确定利用新型可再生资源的内在成本，并相应地适应运营生态系统。该项目的智力优点包括操作大量分布式资源的新理论和算法，以及市场和控制的测试平台实现。该项目更广泛的影响包括K-12和本科课程，包括通过霍普金斯大学的课堂和课外STEM活动以及加州理工学院的WAVE暑期研究项目开展的课堂和课外STEM活动。大规模引入分布式能源（DERs）需要重新思考电网运营，以应对不断增加的不确定性和新的运营限制。所提出的研究通过彻底改革市场和网格控制所利用的信息结构来承担这一任务。我们试图描述和塑造信息如何交换和用于管理网格，以提高效率、稳定性和激励一致性。这项研究分为三个重点。主旨1强调信息在协调中的作用。它试图描述DER成本和制约因素，设计适合于传达关于DER成本非典型特征的信息的投标策略。推力2旨在制定综合战略，通过考虑成本和限制因素，有效地管理资源，通过保护敏感用户信息并对市场操纵保持稳健的综合投标来整合der。最后，推力3描述了DERs对操作的总体影响。我们将研究跨市场的用户激励如何隐含地耦合市场结果，并开发设计机制以减轻市场间的价格操纵。我们还将设计定价方案，提供有效的DER分配，同时保留实时操作约束，如频率调节。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting

在线暂停和恢复问题：最优算法和碳感知负载转移的应用

• DOI: 10.1145/3626776
• 发表时间: 2023
• 期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
• 作者: Lechowicz, Adam;Christianson, Nicolas;Zuo, Jinhang;Bashir, Noman;Hajiesmaili, Mohammad;Wierman, Adam;Shenoy, Prashant
• 通讯作者: Shenoy, Prashant

Dispatch-aware planning for feasible power system operation

• DOI: 10.1016/j.epsr.2022.108597
• 发表时间: 2022
• 期刊: Electric Power Systems Research
• 影响因子: 3.9
• 作者: Nicolas H. Christianson;Lucien Werner;A. Wierman;S. Low

The Online Knapsack Problem with Departures

出发时的在线背包问题

• DOI: 10.1145/3570618
• 发表时间: 2022
• 期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
• 作者: Sun, Bo;Yang, Lin;Hajiesmaili, Mohammad;Wierman, Adam;Lui, John C.;Towsley, Don;Tsang, Danny H.K.
• 通讯作者: Tsang, Danny H.K.

Smoothed Online Optimization with Unreliable Predictions

• DOI: 10.1145/3579442
• 发表时间: 2022-02
• 期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
• 作者: Daan Rutten;Nicolas H. Christianson;Debankur Mukherjee;A. Wierman

Scalable Reinforcement Learning for Multiagent Networked Systems

• DOI: 10.1287/opre.2021.2226
• 发表时间: 2019-12
• 期刊: Oper. Res.
• 作者: Guannan Qu;A. Wierman;N. Li