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

合作研究：CPS 媒介：通过重新设计信息流实现 DER 集成

• 批准号: 2136199
• 负责人: Mohammadhassan Hajiesmaili
• 金额: $ 40万
• 依托单位: University of Massachusetts Amherst
• 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=2136199&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项目旨在重新设计系统运营商在当今电力市场中使用的信息结构，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性设计，激励和促进非传统能源的整合，为电力系统带来变革。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。该项目的智力价值包括用于操作大量分布式资源的新颖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，包括课堂和课外STEM活动，例如，霍普金斯的课堂和课外STEM活动，以及加州理工学院WAVE夏季研究计划。大规模引入分布式能源（DER）需要重新思考电网运营，以应对增加的不确定性和新的运营限制。拟议的研究通过彻底改革市场和电网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，稳定性和激励对齐。这项研究分为三个方面。重点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，设计适合传达有关DER成本的非典型特征的信息的投标策略。Thrust 2旨在开发聚合策略，通过考虑资源的成本和限制来有效管理资源，通过保护敏感用户信息并对市场操纵具有鲁棒性的聚合出价来整合DER。最后，重点3描述了DERs对作战的总体影响。我们将研究跨越市场的用户激励如何隐含地耦合市场结果，并开发设计机制来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，同时保留实时操作限制，如频率调节。该奖项反映了NSF的法定使命，并已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

VPeak: Exploiting Volunteer Energy Resources for Flexible Peak Shaving.

VPeak：利用志愿者能源资源进行灵活调峰。

• DOI: 10.1145/3486611.3486667
• 发表时间: 2021
• 期刊: and Transportation
• 作者: Bovornkeeratiroj, P.;Wamburu, J.;Irwin, D.;Shenoy, P.
• 通讯作者: Shenoy, P.

Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints

• DOI: 10.1145/3529113.3529115
• 发表时间: 2021-10
• 期刊: ACM SIGMETRICS Performance Evaluation Review
• 作者: Russell Lee;Yutao Zhou;Lin Yang;M. Hajiesmaili;R. Sitaraman

Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks

电动汽车充电网络中联合定价和调度的近最优在线算法

• DOI: 10.1145/3575813.3576878
• 发表时间: 2023
• 期刊: Proceedings of the 14th ACM International Conference on Future Energy Systems
• 作者: Bostandoost, Roozbeh;Sun, Bo;Joe-Wong, Carlee;Hajiesmaili, Mohammad
• 通讯作者: Hajiesmaili, Mohammad

Contextual Combinatorial Bandits with Probabilistically Triggered Arms

• DOI: 10.48550/arxiv.2303.17110
• 发表时间: 2023-03
• 作者: Xutong Liu;Jinhang Zuo;Siwei Wang;John C.S. Lui;M. Hajiesmaili;A. Wierman;Wei Chen

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback

• 发表时间: 2021
• 作者: Lin Yang;Y. Chen;Stephen Pasteris;M. Hajiesmaili;John C.S. Lui;D. Towsley