CAREER: Beyond Low-Inertia Systems - Grid-Forming Control Foundations for Converter-Dominated Power Systems
CAREER: Beyond Low-Inertia Systems - Grid-Forming Control Foundations for Converter-Dominated Power Systems
批准号:
2143188
负责人:
Dominic Gross
金额:
$50.69万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-03-01 至 2027-02-28
中文摘要
NSF CAREER项目旨在为电力电子和可再生能源发电的实时控制奠定基础,以确保大规模零碳电力系统在从毫秒到秒的时间尺度上可靠运行。今天,动态稳定性问题从根本上限制了可再生能源发电在大规模电力系统中的贡献。该项目将通过提高可持续性,增强对恶劣天气事件的适应能力,并为美国经济的脱碳做出贡献,为电力系统带来变革。这将通过电力电子和可再生能源的建模和控制创新来实现,这将使他们能够充分参与确保系统稳定性和弹性。该项目的智力优势包括为并网电力电子和分析方法开发新的基于优化的控制范例,这些方法将提供对可再生能源发电和电力电子主导的大规模电力系统动态的原则性理解。该项目的更广泛影响包括提高电力系统的可持续性和可靠性,改善恶劣天气事件的缓解和恢复。该项目还将解决电力电子,控制和电力系统教育的整合,并有助于发展多样化和具有全球竞争力的电力工程和绿领劳动力。如何以有限的灵活性控制并网电力电子设备和可再生能源发电,以确保零碳电力系统的动态稳定性还没有得到很好的理解。该项目的主要技术重点是开发一个控制设计和稳定性分析框架,(i)明确考虑电力电子和可再生能源发电的静态和动态约束,以及(ii)防止控制和物理之间在重叠时间尺度上的不利动态相互作用。解决这个复杂的问题将需要新的模型,控制方法和定制的稳定性分析工具。一个特别的重点将是控制技术,(i)使大量的分布式电力电子设备的无缝集成,通过诱导协作动态,(ii)自主地利用其组合的灵活性,以减少集中协调的需要。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
英文摘要
This NSF CAREER project aims to develop a foundation for real-time control of power electronics and renewable generation that ensures reliable operation of large-scale zero-carbon power systems on time scales from milliseconds to seconds. Today, dynamic stability concerns fundamentally limit the contribution of renewable generation in large-scale power systems. The project will bring transformative change to electric power systems by increasing sustainability, enhancing resilience to severe weather events, and contributing to the decarbonization of the U.S. economy. This will be achieved by innovations in modeling and control of power electronics and renewable energy resources that will enable their full participation in ensuring system stability and resilience. The intellectual merits of the project include developing new optimization-based control paradigms for grid-connected power electronics and analysis methods that will provide a principled understanding of the dynamics of large-scale power systems dominated by renewable generation and power electronics. The broader impacts of the project include increased sustainability and reliability of electric power systems and improved mitigation of and recovery from severe weather events. The project will also address integration of power electronics, control, and power systems education and contribute to developing a diverse and globally competitive power engineering and green-collar workforce. How to control grid-connected power electronics and renewable generation with limited flexibility to ensure dynamic stability of zero-carbon electric power systems is not well understood. The main technical focus of this project is to develop a framework for control design and stability analysis that (i) explicitly accounts for static and dynamic constraints of power electronics and renewable generation, and (ii) prevents adverse dynamic interactions between controls and physics on overlapping time scales. Solving this complex problem will require new models, control approaches, and tailored tools for stability analysis. A particular focus will be on control techniques that (i) enable seamless integration of vast numbers of distributed power-electronic devices by inducing collaborative dynamics, and (ii) autonomously leverage their combined flexibility to reduce the need for centralized coordination.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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1109/cdc49753.2023.10383826
发表时间:
2023-12
期刊:
2023 62nd IEEE Conference on Decision and Control (CDC)
影响因子:
--
作者:
[Dominic Gross]
通讯作者:
Dominic Gross
Grid-forming control of three-phase and single-phase converters across unbalanced transmission and distribution systems
不平衡输配电系统中三相和单相变流器的并网控制
DOI:
10.1109/tpwrs.2022.3222120
发表时间:
2022
期刊:
IEEE Transactions on Power Systems
影响因子:
6.6
作者:
[Nudehi, Shahin S., Gross, Dominic]
通讯作者:
Gross, Dominic
Towards constrained grid-forming control
走向约束网格形成控制
DOI:
10.1109/allerton58177.2023.10313424
发表时间:
2023
期刊:
IEEE
影响因子:
--
作者:
[Groß, Dominic, Lyu, Xue]
通讯作者:
Lyu, Xue
海外基金