CAREER: Reliability Engineering for Electrical Energy Systems 2020: Smart Grid Applications and Beyond

职业:2020 年电能系统可靠性工程:智能电网应用及其他

基本信息

项目摘要

Objectives;The objective of this research is to create reliability engineering tools to address planning and operation challenges of future electrical energy systems. These tools will focus on i) quantifying the impact of coupling between cyber and physical components on reliability, ii) quantifying the impact of coupling between system dynamics and component stress on reliability, and iii) implementing mechanisms for effective fault tolerance. The approach is to tailor a blend of reliability- and control-theoretic tools to the unique structural features of electrical energy systems.Intellectual Merit:This research will provide a taxonomy of faults in cyber components of electrical energy systems. Analytical models to assess the impact of these faults will be constructed using results from switched system stability. Stochastic hybrid system formalisms will be used to provide an analytical framework for capturing the interplay between system dynamics and component stress. Fault diagnosis in electrical energy systems, which has been primarily restricted to physical components, is paramount for fault tolerance. Switched system invertibility techniques will be utilized to address fault diagnosis of cyber components.Broader Impacts:This research will forward the Smart Grid vision by providing tools for engineering more reliable and responsive electrical energy systems. Educationally, the goal is to develop materials that provide a unified view of the disciplines relevant to this project - electrical energy systems, reliability, and control - for training the next generation of power engineers. The PI will collaborate with the Educational Equity Programs Office and the Office of Minority Student Affairs at the University of Illinois to attract underrepresented minorities.
目标;本研究的目的是创建可靠性工程工具,以解决未来电力能源系统的规划和运营挑战。这些工具将侧重于i)量化网络和物理组件之间的耦合对可靠性的影响,ii)量化系统动态和组件应力之间的耦合对可靠性的影响,以及iii)实施有效容错机制。该方法是量身定制的混合可靠性和控制理论的工具,以独特的结构特征的电能systems.Intellectual优点:这项研究将提供一个分类的故障在网络组件的电能systems. The。分析模型,以评估这些故障的影响,将使用切换系统稳定性的结果。随机混合系统形式主义将被用来捕捉系统动态和组件应力之间的相互作用提供一个分析框架。电能系统的故障诊断主要局限于物理部件,对于容错至关重要。交换系统可逆性技术将用于解决网络组件的故障诊断问题。更广泛的影响:这项研究将通过为设计更可靠和响应更快的电能系统提供工具来推进智能电网愿景。在教育方面,我们的目标是开发材料,提供与本项目相关的学科的统一观点-电能系统,可靠性和控制-用于培训下一代电力工程师。PI将与伊利诺伊大学的教育公平计划办公室和少数民族学生事务办公室合作,以吸引代表性不足的少数民族。

项目成果

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Alejandro Dominguez-Garcia其他文献

Alejandro Dominguez-Garcia的其他文献

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{{ truncateString('Alejandro Dominguez-Garcia', 18)}}的其他基金

EAGER-DynamicData: A Scalable Framework for Data-Driven Real-Time Event Detection in Power Systems
EAGER-DynamicData:电力系统中数据驱动的实时事件检测的可扩展框架
  • 批准号:
    1462311
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Student Travel Support for the Sept 2012 North American Power Symposium, to be held on the campus of the University of Illinois at Urbana-Champaign,
为 2012 年 9 月在伊利诺伊大学厄巴纳-香槟分校校园举行的北美电力研讨会提供学生旅行支持,
  • 批准号:
    1251226
  • 财政年份:
    2012
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Managing Intermittency in Planning and Operations of Power
管理电力规划和运营的间歇性
  • 批准号:
    0925754
  • 财政年份:
    2009
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant

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