CPS:Synergy:Collaborative Research: Real-time Data Analytics for Energy Cyber-Physical Systems
CPS:协同:协作研究:能源网络物理系统的实时数据分析
基本信息
- 批准号:1854077
- 负责人:
- 金额:$ 33.61万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Inadequate system understanding and inadequate situational awareness have caused large-scale power outages in the past. With the increased reliance on variable energy supply sources, system understanding and situational awareness of a complex energy system become more challenging. This project leverages the power of big data analytics to directly improve system understanding and situational awareness. The research provides the methodology for detecting anomalous events in real-time, and therefore allow control centers to take appropriate control actions before minor events develop into major blackouts. The significance for the society and for the power industry is profound. Energy providers will be able to prevent large-scale power outages and reduce revenue losses, and customers will benefit from reliable energy delivery with service guarantees. Students, including women and underrepresented groups, will be trained for the future workforce in this area.The project includes four major thrusts: 1) real-time anomaly detection from measurement data; 2) real-time event diagnosis and interpretation of changes in the state of the network; 3) real-time optimal control of the power grid; 4) scientific foundations underpinning cyber-physical systems. The major outcome of this project is practical solutions to event or fault detection and diagnosis in the power grid, as well as prediction and prevention of large-scale power outages.
过去,由于对系统认识不足和对形势认识不足,造成了大规模停电。随着对可变能源的日益依赖,对复杂能源系统的系统理解和情景认识变得更加具有挑战性。该项目利用大数据分析的力量,直接提高系统理解和态势感知能力。这项研究提供了实时检测异常事件的方法,从而使控制中心能够在小事件发展成大停电之前采取适当的控制行动。这对社会和电力行业都具有深远的意义。能源供应商将能够防止大规模停电并减少收入损失,客户将受益于具有服务保证的可靠能源输送。学生,包括妇女和代表不足的群体,将接受这一领域未来劳动力的培训。该项目包括四个主要方面:1)从测量数据中实时检测异常;2)实时事件诊断和网络状态变化的解释;3)电网的实时优化控制;4)支撑网络物理系统的科学基础。该项目的主要成果是为电网中的事件或故障检测和诊断以及大规模停电的预测和预防提供了实用的解决方案。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Maggie Cheng其他文献
Fast OMP for Exact Recovery and Sparse Approximation
用于精确恢复和稀疏逼近的快速 OMP
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Huiyuan Yu;Jia He;Maggie Cheng - 通讯作者:
Maggie Cheng
“This is not built for me”: A qualitative study of adult-sized changing tables and public restroom accessibility
- DOI:
10.1016/j.dhjo.2023.101520 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:
- 作者:
Geffen Treiman;Maggie Cheng;Madeline Oswald - 通讯作者:
Madeline Oswald
Inconsistent values and algorithmic fairness: a review of organ allocation priority systems in the United States
- DOI:
10.1186/s12910-024-01116-x - 发表时间:
2024-10-17 - 期刊:
- 影响因子:3.100
- 作者:
Reid Dale;Maggie Cheng;Katharine Casselman Pines;Maria Elizabeth Currie - 通讯作者:
Maria Elizabeth Currie
Maggie Cheng的其他文献
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{{ truncateString('Maggie Cheng', 18)}}的其他基金
ATD: Collaborative Research: Inference of Human Dynamics from High-Dimensional Data Streams: Community Discovery and Change Detection
ATD:协作研究:从高维数据流推断人类动力学:社区发现和变化检测
- 批准号:
2027725 - 财政年份:2020
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
AMPS: Real-Time Algorithms for Power System Analysis: Anomaly, Causality, and Contingency
AMPS:电力系统分析实时算法:异常、因果关系和意外事件
- 批准号:
1936873 - 财政年份:2019
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
EAGER: Factoring User Behavior into Network Security Analysis
EAGER:将用户行为纳入网络安全分析
- 批准号:
1937929 - 财政年份:2019
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
Collaborative Research: Computationally Efficient Solvers for Power System Simulation
协作研究:用于电力系统仿真的计算高效求解器
- 批准号:
1854078 - 财政年份:2018
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
Collaborative Research: Computationally Efficient Solvers for Power System Simulation
协作研究:用于电力系统仿真的计算高效求解器
- 批准号:
1665422 - 财政年份:2016
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
CPS:Synergy:Collaborative Research: Real-time Data Analytics for Energy Cyber-Physical Systems
CPS:协同:协作研究:能源网络物理系统的实时数据分析
- 批准号:
1660025 - 财政年份:2016
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
EAGER: Factoring User Behavior into Network Security Analysis
EAGER:将用户行为纳入网络安全分析
- 批准号:
1665235 - 财政年份:2016
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
EAGER: Factoring User Behavior into Network Security Analysis
EAGER:将用户行为纳入网络安全分析
- 批准号:
1537538 - 财政年份:2015
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
CPS:Synergy:Collaborative Research: Real-time Data Analytics for Energy Cyber-Physical Systems
CPS:协同:协作研究:能源网络物理系统的实时数据分析
- 批准号:
1545063 - 财政年份:2015
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
Collaborative Research: Computationally Efficient Solvers for Power System Simulation
协作研究:用于电力系统仿真的计算高效求解器
- 批准号:
1307458 - 财政年份:2013
- 资助金额:
$ 33.61万 - 项目类别:
Standard Grant
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