US Ignite: Track 1: Collaborative Research: DISTINCT: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids

US Ignite:轨道 1:合作研究:DISTINCT:用于大型电网广域控制的分布式多环网络系统

基本信息

  • 批准号:
    1620871
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-01 至 2021-09-30
  • 项目状态:
    已结题

项目摘要

Following the Northeast blackout of 2003 tremendous efforts have been made to modernize the electric power infrastructure of the United States by installing sophisticated, digital sensors called Phasor Measurement Units. These sensors continuously track the health of large, complex power grids with high accuracy. However, as the number of these sensors increases up into the thousands, grid operators are struggling to understand how the gigantic volumes of data can be efficiently communicated to control centers for taking timely control actions, especially in face of critical grid disturbances. Developing a reliable wide-area communication network that guarantees just-in-time data delivery is the greatest challenge. Unfortunately, neither the architecture of such networks nor the impacts of delays and data losses on control actions are well understood. This project will address this gap, and develop a highly resilient, fault-tolerant, and reliable distributed network control system for tomorrow's power grids using cutting-edge emerging technologies, such as cloud computing and software defined networks. Power systems are a critical infrastructural component in modern society. Therefore, results of this research will have a tremendous scientific impact on the smart grid and smart city research communities. The proposed multidisciplinary approach, test bed prototyping, and industry collaborations will help in educating next-generation workforce in the fields of smart grids and cyber-physical systems. Overcoming network-induced latencies, data losses, and bandwidth limitations is the key for successful deployment of at-scale wide-area control of power systems. The merit of this research lies in the development of a distributed networked control system infrastructure that addresses all of these concerns. The approach encompasses multiple disciplines, ranging from power systems to control systems to advanced networking and cloud computing technologies. The proposed architecture will be realized via three interactive layers. Layer 1 will consist of physics-based controllers for power oscillation damping. Layer 2 will contain delay control rules for the communication network that work in tandem with the grid controllers. Layer 3 will consist of a supervisory controller realized through embedding and reconfiguration rules in a distributed cloud environment that continuously monitors the system status, and ensures fault-tolerance, resilience, and reliability of the overall closed-loop control system. The project team will also develop an integrated software and hardware testbed with open interfaces that can be used by other educational institutions.
在2003年东北部停电之后,通过安装称为相量测量单元的复杂数字传感器,已经做出了巨大的努力来实现美国电力基础设施的现代化。这些传感器以高精度持续跟踪大型复杂电网的健康状况。然而,随着这些传感器的数量增加到数千个,电网运营商正在努力了解如何将大量数据有效地传输到控制中心,以便及时采取控制措施,特别是在面临严重的电网干扰时。最大的挑战是开发一个可靠的广域通信网络,保证及时的数据传输。不幸的是,无论是这种网络的架构,也没有控制行动的延迟和数据丢失的影响是很好的理解。该项目将解决这一差距,并利用云计算和软件定义网络等尖端新兴技术,为未来的电网开发一个高弹性、容错和可靠的分布式网络控制系统。电力系统是现代社会的关键基础设施组成部分。因此,这项研究的结果将对智能电网和智能城市研究界产生巨大的科学影响。拟议的多学科方法、试验台原型设计和行业合作将有助于教育智能电网和网络物理系统领域的下一代劳动力。 克服网络引起的延迟、数据丢失和带宽限制是成功部署电力系统大规模广域控制的关键。这项研究的优点在于开发一个分布式网络控制系统的基础设施,解决所有这些问题。该方法涵盖多个学科,从电力系统到控制系统,再到先进的网络和云计算技术。拟议的架构将通过三个交互层来实现。第1层将包括用于功率振荡阻尼的基于物理的控制器。第2层将包含与网格控制器协同工作的通信网络的延迟控制规则。第三层将包括一个通过在分布式云环境中嵌入和重新配置规则实现的监督控制器,该控制器持续监控系统状态,并确保整个闭环控制系统的容错性,弹性和可靠性。项目团队还将开发一个集成的软件和硬件测试平台,具有开放的接口,可供其他教育机构使用。

项目成果

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Kaiqi Xiong其他文献

Resource Provisioning in SLA-Based Cluster Computing
基于SLA的集群计算中的资源配置
  • DOI:
    10.1007/978-3-642-16505-4_1
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kaiqi Xiong;S. Suh
  • 通讯作者:
    S. Suh
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
推进 DDoS 攻击检测:使用深度残差神经网络和合成过采样的协同方法
  • DOI:
    10.48550/arxiv.2401.03116
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ali Alfatemi;Mohamed Rahouti;Ruhul Amin;Sarah Aljamal;Kaiqi Xiong;Yufeng Xin
  • 通讯作者:
    Yufeng Xin
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
通过组合融合分析增强基于 ML 的 DoS 攻击检测
Nonlinear target tracking for threat detection using RSSI and optical fusion
使用 RSSI 和光学融合进行非线性目标跟踪以进行威胁检测
Applying Machine Learning Techniques to Understand User Behaviors When Phishing Attacks Occur
应用机器学习技术了解网络钓鱼攻击发生时的用户行为

Kaiqi Xiong的其他文献

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{{ truncateString('Kaiqi Xiong', 18)}}的其他基金

Building Cloud-Based Experiential Blockchain Learning Modules for Cybersecurity Education
为网络安全教育构建基于云的体验式区块链学习模块
  • 批准号:
    2236283
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors
EAGER:协作:用户安全和激励行为的计算认知建模
  • 批准号:
    1620862
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
US Ignite: Track 1: Collaborative Research: DISTINCT: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids
US Ignite:轨道 1:合作研究:DISTINCT:用于大型电网广域控制的分布式多环网络系统
  • 批准号:
    1531061
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Collaborative Project: Building An Innovative Smartphone Virtual Laboratory Environment for Cyber-security Education and Training
合作项目:为网络安全教育和培训构建创新的智能手机虚拟实验室环境
  • 批准号:
    1636622
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Building Virtual Research, Interactive, Service, and Experiential Learning Modules for Cyber Security Education
IUSE:合作项目:为网络安全教育构建虚拟研究、互动、服务和体验式学习模块
  • 批准号:
    1651280
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors
EAGER:协作:用户安全和激励行为的计算认知建模
  • 批准号:
    1544385
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
EAGER: The Performance Evaluation of Intra-domain Bandwidth Allocation and Inter-domain Routing Algorithms for a QoS-guaranteed Routing Path Discovery
EAGER:用于 QoS 保证的路由路径发现的域内带宽分配和域间路由算法的性能评估
  • 批准号:
    1633978
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Engaged Student Learning: Design and Development, Level I: Broadening the Path to the STEM Profession Through Cybersecurity Learning
IUSE:合作项目:学生参与学习:设计与开发,第一级:通过网络安全学习拓宽 STEM 职业之路
  • 批准号:
    1525278
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Engaged Student Learning: Design and Development, Level I: Broadening the Path to the STEM Profession Through Cybersecurity Learning
IUSE:合作项目:学生参与学习:设计与开发,第一级:通过网络安全学习拓宽 STEM 职业之路
  • 批准号:
    1620868
  • 财政年份:
    2015
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
IUSE: Collaborative Project: Building Virtual Research, Interactive, Service, and Experiential Learning Modules for Cyber Security Education
IUSE:合作项目:为网络安全教育构建虚拟研究、互动、服务和体验式学习模块
  • 批准号:
    1431265
  • 财政年份:
    2014
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant

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