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

基本信息

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

项目摘要

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.

该 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方面的技术进步。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来运营可再生能源高渗透率的网络。这将通过一种全面的自下而下的方法来实现，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台实施。该项目的更广泛影响包括 K-12 和本科生项目，包括通过霍普金斯大学课堂和课外 STEM 活动以及加州理工学院 WAVE 夏季研究项目进行的课堂和课外 STEM 活动。引入分布式能源（大规模的分布式能源（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项任务。我们寻求描述和塑造信息交换和使用的方式来管理电网，以提高效率、稳定性和激励一致性。该研究分为三个重点。主旨 1 强调信息在协调中的作用。它旨在描述分布式能源成本和限制因素，设计专门的投标策略来传达有关分布式能源成本非典型特征的信息。 Thrust 2 旨在开发聚合策略，通过考虑资源的成本和约束来有效管理资源，通过聚合出价整合 DER，保护敏感用户信息并对市场操纵具有鲁棒性。最后，推力 3 描述了 DER 对运营的总体影响。我们将研究跨市场的用户激励如何隐式地耦合市场结果，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，提供高效的 DER 分配，同时保留频率调节等实时操作限制。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点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

期刊论文数量（18）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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：
2021-11
期刊：
and Transportation
影响因子：
0
作者：
Bovornkeeratiroj, P.;Wamburu, J.;Irwin, D.;Shenoy, P.
通讯作者：
Shenoy, P.

Online peak-aware energy scheduling with untrusted advice

在线峰值感知能源调度以及不受信任的建议

DOI：
10.1145/3508467.3508473
发表时间：
2021-11
期刊：
ACM SIGEnergy Energy Informatics Review
影响因子：
0
作者：
Lee, Russell;Maghakian, Jessica;Hajiesmaili, Mohammad;Li, Jian;Sitaraman, Ramesh;Liu, Zhenhua
通讯作者：
Liu, Zhenhua

Contextual combinatorial bandits with probabilistically triggered arms

具有概率触发臂的上下文组合老虎机

DOI：
发表时间：
2023-07
期刊：
Proceedings of the 40th International Conference on Machine Learning
影响因子：
0
作者：
Xutong Liu; Jinhang Zuo
通讯作者：
Jinhang Zuo

PeakTK: An Open Source Toolkit for Peak Forecasting in Energy Systems.

PeakTK：用于能源系统峰值预测的开源工具包。

DOI：
10.1145/3530190.3534791
发表时间：
2022-06
期刊：
Proceedings of the ACM Conference on Computing Systems and Sustainable Societies (COMPASS
影响因子：
0
作者：
Bovornkeeratiroj, P.;Wamburu, J.;Shenoy, P.
通讯作者：
Shenoy, P.

Distributed rate control of smart solar arrays with batteries

带电池的智能太阳能电池阵列的分布式速率控制

DOI：
10.3389/friot.2023.1129367
发表时间：
2023-06
期刊：
Frontiers in the Internet of Things
影响因子：
0
作者：
Bovornkeeratiroj, Phuthipong;Lee, Stephen;Iyengar, Srinivasan;Irwin, David;Shenoy, Prashant
通讯作者：
Shenoy, Prashant