PFI (MCA): Enhancing Grid Reliability and Stability with Distributed Energy Resources

PFI (MCA):利用分布式能源增强电网可靠性和稳定性

基本信息

项目摘要

The broader impact/commercial potential of this Partnerships for Innovation – Mid-Career Advancement (PFI-MCA) project is to make the US national power grid more reliable and stable. At the same time, this project looks to handle a large number of distributed energy resources that connect to the grid in different ways than traditional power plants. One of the key goals is to gather fundamental knowledge that will help better assess the reliability of US power grid in real-world conditions. Another goal is to develop novel control algorithms to enable distributed energy resources to react better to changes in the grid, which can help improve overall grid stability. This project also plans to create a shared platform that many research groups can use for testing their research ideas. This work will help strengthen relationships between the university and industry by working together for mutual benefit. All project materials, processes, designs, and results will be disseminated in the public domain via public-access websites, top-ranking conference and journal publications. Lastly, this project will positively impact the society and education by offering valuable research opportunities for students who don't typically get involved in STEM, thus helping to diversify the people working in these fields.The proposed project is to develop multidisciplinary and integrated approaches to collectively improve low-inertia grid reliability and stability in the face of uncertainties and to explore a commercialization roadmap. The proposed research will have intellectual merits in the following areas: (1) Establish a fundamental knowledge base of understanding the practical challenges of low-inertia power grids with high penetration of grid-forming inverter-based energy resources, (2) Design a holistic assessment framework and visualization tool to qualify the causal reliability relation between diverse grid-forming inverter-based energy resources and their collective impact on system reliability, (3) Develop a self-adaptive, robust, and stability-aware grid-forming controller capable of learning power grid behaviors, and (4) Leverage the existing power system testbeds to validate the real-world performance of the proposed stability-aware grid-forming controllers and enable research resource sharing among the resources-constrained research and education community in Southeast Michigan.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.
这个创新伙伴关系-中期职业发展(PFI-MCA)项目的更广泛的影响/商业潜力是使美国国家电网更加可靠和稳定。与此同时,该项目旨在处理大量分布式能源,这些能源以与传统发电厂不同的方式连接到电网。其中一个关键目标是收集基础知识,以帮助更好地评估美国电网在现实条件下的可靠性。另一个目标是开发新的控制算法,使分布式能源能够更好地对电网的变化做出反应,这有助于提高电网的整体稳定性。该项目还计划创建一个共享平台,许多研究小组可以使用该平台来测试他们的研究想法。这项工作将有助于加强大学和产业之间的关系,共同努力,互惠互利。所有项目材料、流程、设计和结果将通过公共访问网站、顶级会议和期刊出版物在公共领域传播。最后,该项目将为那些通常不涉足STEM领域的学生提供宝贵的研究机会,从而帮助这些领域的工作人员实现多样化,从而对社会和教育产生积极影响。该项目旨在开发多学科和综合方法,共同提高低惯性电网的可靠性和稳定性,并探索商业化路线图。拟议的研究将在以下领域具有知识价值:(1)建立一个基本的知识库,了解低惯性电网的实际挑战,电网形成逆变器为基础的能源的高渗透率,(2)设计了一个整体评估框架和可视化工具,以量化不同并网逆变器之间的因果可靠性关系-的能源及其对系统可靠性的集体影响,(3)开发一种自适应的,鲁棒的,和稳定意识的电网形成控制器,能够学习电网行为,以及(4)利用现有的电力系统测试平台来验证所提出的稳定感知电网的真实世界性能-该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Wencong Su其他文献

Attention-Focused Machine Learning Method to Provide the Stochastic Load Forecasts Needed by Electric Utilities for the Evolving Electrical Distribution System
注意力集中机器学习方法为不断发展的配电系统提供电力公司所需的随机负荷预测
  • DOI:
    10.3390/en16155661
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    John O’Donnell;Wencong Su
  • 通讯作者:
    Wencong Su
Classification of electricity customer groups towards individualized price scheme design
电力客户群体分类,个性化电价方案设计
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tao Chen;Kun Qian;A. Mutanen;Bjcorn Schuller;P. Järventausta;Wencong Su
  • 通讯作者:
    Wencong Su
A Literature Review of Stochastic Programming and Unit Commitment
随机规划和单位承诺的文献综述
A digital testbed for a PHEV/PEV enabled parking lot in a Smart Grid environment
智能电网环境中支持 PHEV/PEV 的停车场的数字测试台
The Role of Customers in the U.S. Electricity Market: Past, Present and Future
  • DOI:
    10.1016/j.tej.2014.07.006
  • 发表时间:
    2014-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Wencong Su
  • 通讯作者:
    Wencong Su

Wencong Su的其他文献

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{{ truncateString('Wencong Su', 18)}}的其他基金

I-Corps: Machine Learning Enhanced Automated Circuit Configuration and Evaluation of Power Converters
I-Corps:机器学习增强电源转换器的自动化电路配置和评估
  • 批准号:
    2245187
  • 财政年份:
    2022
  • 资助金额:
    $ 34.99万
  • 项目类别:
    Standard Grant
Collaborative Research: Large-Signal Stability Analysis and Enhancement of Converter-Dominated DC Microgrid
合作研究:变流器主导的直流微电网的大信号稳定性分析与增强
  • 批准号:
    2034938
  • 财政年份:
    2020
  • 资助金额:
    $ 34.99万
  • 项目类别:
    Standard Grant
REU Site: Undergraduate Research in Sustainable Energy (U-RISE)
REU 网站:可持续能源本科研究 (U-RISE)
  • 批准号:
    1757522
  • 财政年份:
    2018
  • 资助金额:
    $ 34.99万
  • 项目类别:
    Standard Grant
I-Corps: Distributed Energy Management Systems for Grid Integration of Distributed Energy Storage Devices
I-Corps:用于分布式储能设备并网的分布式能源管理系统
  • 批准号:
    1445846
  • 财政年份:
    2014
  • 资助金额:
    $ 34.99万
  • 项目类别:
    Standard Grant

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  • 批准号:
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    81901934
  • 批准年份:
    2019
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目
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米根霉产L-乳酸途径丙酮酸分支点MCA研究
  • 批准号:
    31171741
  • 批准年份:
    2011
  • 资助金额:
    60.0 万元
  • 项目类别:
    面上项目

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