CPS:Medium:Collaborative Research:High-Fidelity High-Resolution and Secure Monitoring and Control of Future Grids: a synergy of AI, data science, and hardware security

CPS:中:协作研究:未来电网的高保真高分辨率和安全监控:人工智能、数据科学和硬件安全的协同作用

基本信息

  • 批准号:
    1932501
  • 负责人:
  • 金额:
    $ 75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-15 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

The increasing presence of renewable generations and distributed energy resources in transmission systems heightens the need for fast-timescale situational awareness for system reliability, resiliency, and both the operational and cyber security. Despite the invention of phasor measurement units that promised close-to-real-time monitoring of the system states, the limited deployment of phasor measurement units had hampered the ability of the system operator to uncover trends of instability, react to system contingencies, and detect malicious attacks on the power grid. This research develops new hardware and software solutions for high-fidelity, high-resolution, and secure monitoring and control of the future grid. By harnessing and exploiting the increasingly abundant and diverse data sources and through novel applications of machine learning and artificial intelligence, this research advances the state-of-the-art monitoring of cyber-physical systems in three fronts. First, this research develops machine learning approaches to high-resolution state estimation for power systems that are unobservable by existing phasor measurement units. Second, this research offers new solutions to detecting and mitigating data anomaly caused by malfunctions of sensors, communications systems, and cyber attacks by adversarial agents. Third, this research develops a new hardware architecture and prototypes for future digital substations that provide hardware-based security. This research has broader impacts on enhancing national security in critical infrastructures, promoting economic competitiveness through accelerated adoption of phasor measurement technology, and broadening participation of women and under-represented minority groups in science, technology, engineering, and mathematics.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.
随着可再生能源和分布式能源在输电系统中的日益增多,对系统可靠性、弹性以及运营和网络安全的快速态势感知的需求也越来越高。 尽管相量测量单元的发明承诺接近实时监测系统状态,但相量测量单元的有限部署阻碍了系统运营商发现不稳定趋势,对系统突发事件做出反应以及检测电网恶意攻击的能力。 这项研究开发了新的硬件和软件解决方案,用于未来电网的高保真,高分辨率和安全的监测和控制。 通过利用和利用日益丰富和多样化的数据源,并通过机器学习和人工智能的新应用,这项研究在三个方面推进了对网络物理系统的最先进监测。 首先,本研究开发了机器学习方法,用于现有相量测量单元无法观测的电力系统的高分辨率状态估计。 其次,这项研究提供了新的解决方案,以检测和缓解由传感器,通信系统故障和敌对代理的网络攻击引起的数据异常。 第三,本研究为未来的数字变电站开发了一种新的硬件架构和原型,提供基于硬件的安全性。 这项研究对加强关键基础设施的国家安全,通过加速采用相量测量技术促进经济竞争力,以及扩大妇女和代表性不足的少数群体在科学,技术,工程,该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响进行评估来支持审查标准。

项目成果

期刊论文数量(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Stealthy Tracking of Autonomous Vehicles with Cache Side Channels
Universal Data Anomaly Detection via Inverse Generative Adversary Network
  • DOI:
    10.1109/lsp.2020.2978462
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Kursat Rasim Mestav;L. Tong
  • 通讯作者:
    Kursat Rasim Mestav;L. Tong
Learning the Unobservable: High-Resolution State Estimation via Deep Learning
MGX: near-zero overhead memory protection for data-intensive accelerators
SoftVN: efficient memory protection via software-provided version numbers
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Lang Tong其他文献

Unsupervised and nonparametric detection of information flows
  • DOI:
    10.1016/j.sigpro.2012.03.015
  • 发表时间:
    2012-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jinsub Kim;Lang Tong
  • 通讯作者:
    Lang Tong
Cycloaddition of hydrazones and 1, 2-diarylalkynes promoted by t-BuOK/DMF: A convenient synthesis of tetraarylpyrazoles
t-BuOK/DMF 促进腙和 1, 2-二芳基炔的环加成:四芳基吡唑的便捷合成
  • DOI:
    10.1016/j.cclet.2018.06.018
  • 发表时间:
    2019-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lang Tong;Zhifeng Mao;Xiangzheng Tang;Xuejing Zhang;Ming Yan
  • 通讯作者:
    Ming Yan
Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
净电能计量下线性复杂度的分布式能源协同优化
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Alahmed;Lang Tong;Qing Zhao
  • 通讯作者:
    Qing Zhao
Integrating distributed energy resources
整合分布式能源
Stability Analysis of Pricing Competition in Retail Electricity Market: On Impact of Bounded Rationality
零售电力市场定价竞争的稳定性分析:有限理性的影响
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shunya Yamashita;Mohd A. Khan;Takeshi Hatanaka;Kenko Uchida;Lang Tong
  • 通讯作者:
    Lang Tong

Lang Tong的其他文献

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{{ truncateString('Lang Tong', 18)}}的其他基金

Large-Scale DER Aggregation: Active Prosumers, Optimal Aggregation, and Sustainable Growth
大规模 DER 聚合:活跃的产消者、最优聚合和可持续增长
  • 批准号:
    2218110
  • 财政年份:
    2022
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
CIF:Small:Deadline Scheduling and Sensor Fusion
CIF:小:截止日期调度和传感器融合
  • 批准号:
    1816397
  • 财政年份:
    2018
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Sustainable Integration of Distributed Energy Resources in Distribution Systems
配电系统中分布式能源的可持续整合
  • 批准号:
    1809830
  • 财政年份:
    2018
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
EAGER:Renewables: Reversing the Death Spiral: Sustainable Integration of Renewables and Storage in Distribution Systems
EAGER:可再生能源:扭转死亡螺旋:配电系统中可再生能源和存储的可持续整合
  • 批准号:
    1549989
  • 财政年份:
    2015
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
INSPIRE :An Engineering and Economic Pathway to Electric Vehicle-Based Transportation
INSPIRE:基于电动汽车的交通的工程和经济途径
  • 批准号:
    1248079
  • 财政年份:
    2012
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
CPS:Medium:Collaborative Research:Information and Computation Hierarchy for Smart Grids
CPS:中:协作研究:智能电网的信息和计算层次结构
  • 批准号:
    1135844
  • 财政年份:
    2011
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: PSERC Collaborative Proposal for a Phase III Industry University Cooperative Research Center Program
合作研究:PSERC关于三期产学合作研究中心项目的合作提案
  • 批准号:
    0968804
  • 财政年份:
    2010
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
CIF: Small: Cognitive Spectrum Access: Fundamental Limits, Protocols, and Performance Analysis
CIF:小型:认知谱访问:基本限制、协议和性能分析
  • 批准号:
    1018115
  • 财政年份:
    2010
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
SING: Toward a Theoretical Foundation of Anonymous Wireless Networking
SING:迈向匿名无线网络的理论基础
  • 批准号:
    0728872
  • 财政年份:
    2007
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
A Statistical Signal Processing Framework for Secure Wireless and Sensor Networking
用于安全无线和传感器网络的统计信号处理框架
  • 批准号:
    0635070
  • 财政年份:
    2006
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

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