GOALI: Distributed Control, Optimization and State Estimation of Networked Microgrids with Enhanced Stability

GOALI：具有增强稳定性的网络微电网的分布式控制、优化和状态估计

• 批准号: 1711951
• 负责人: David Wenzhong Gao
• 金额: $ 34万
• 依托单位: University of Denver
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1711951&HistoricalAwards=false
• 关键词: GOALI; Distributed; Control; Optimization; State

This project is focused on advanced control technology development based on new techniques for analysis and enhancement of stability characteristics of networked microgrids, which is a complex system integrated with various distributed energy resource (DER) units. University of Denver has assembled an excellent team for the collaborative GOALI project with our industry partners ENCORP and National Renewable Energy Laboratory (NREL). The major novelties of the project are: to research the distributed, optimal control strategies and the stability characteristics of microgrids; to explore new control technologies to enhance stability of microgrids; and to pursue technology validation and commercialization with our industry partners. This project is unique because the proposed control methods can optimize generation resources with enhanced stability in a distributed manner. Another unique aspect of this project is the combination of computer simulation and real-time implementation/physical testing for the proposed methods.Findings from this research can be applied to technologies and demonstrations that shape the future of the electricity grid. The development of networked microgrids along with the proposed control, optimization and analysis methodologies will not only facilitate the increased penetration of distributed renewable energy resources but also enhance the reliable operation of low- or medium- voltage distribution networks.The proposed research offers a unique research setting unobtainable from pure academic institution. Graduate students and undergraduate students including those from underrepresented groups will benefit greatly from the educational outcome of our proposed research and development work. The principal investigators and senior personnel of this project will pursue a holistic range of activities to promote microgrid and smart grid technologies for research-integrated education and outreach.Successful penetration of our technology into the energy market will have major societal and commercial impact and contribute in transforming our energy infrastructure to become resilient. Our microgrid control technology will improve security, efficiency, and sustainability of our power and energy infrastructure.

该项目的重点是先进的控制技术开发的基础上的新技术的分析和增强的稳定性特性的网络微电网，这是一个复杂的系统集成了各种分布式能源（DER）的单位。丹佛大学与我们的行业合作伙伴ENCORP和国家可再生能源实验室（NREL）合作，组建了一支优秀的GOALI项目团队。该项目的主要创新之处是：研究分布式最优控制策略和微电网的稳定特性;探索新的控制技术以提高微电网的稳定性;以及与我们的行业合作伙伴一起进行技术验证和商业化。该项目是独一无二的，因为所提出的控制方法可以优化发电资源，以分布式方式增强稳定性。该项目的另一个独特之处是将计算机模拟和实时实施/物理测试相结合，用于所提出的方法。这项研究的结果可以应用于塑造电网未来的技术和示范。沿着微电网网络的发展，以及所提出的控制、优化和分析方法，不仅将促进分布式可再生能源的普及，还将提高低压或中压配电网的可靠运行。研究生和本科生，包括那些来自代表性不足的群体，将大大受益于我们拟议的研究和开发工作的教育成果。该项目的主要研究人员和高级人员将开展一系列全面的活动，以促进微电网和智能电网技术的研究综合教育和推广。我们的技术成功渗透到能源市场将产生重大的社会和商业影响，并有助于改造我们的能源基础设施，使其具有弹性。我们的微电网控制技术将提高电力和能源基础设施的安全性、效率和可持续性。

项目成果

Consensus-Based Approach for Active Power Control and Reserve Estimation in Distributed PV Systems

• DOI: 10.1109/pesgm48719.2022.9917170
• 发表时间: 2022-07
• 期刊: 2022 IEEE Power & Energy Society General Meeting (PESGM)
• 作者: Weihang Yan;Shahil Shah;V. Gevorgian;D. Gao

Sequence Impedance Modeling of Grid-Forming Inverters

并网逆变器的序列阻抗建模

• DOI: 10.1109/pesgm46819.2021.9638001
• 发表时间: 2021
• 期刊: 2021 IEEE Power & Energy Society General Meeting (PESGM
• 作者: Yan, Weihang;Shah, Shahil;Gevorgian, Vahan;Gao, David Wenzhong
• 通讯作者: Gao, David Wenzhong

Implementations and Evaluations of Wind Turbine Inertial Controls With FAST and Digital Real-Time Simulations

通过快速数字实时仿真实现和评估风力涡轮机惯性控制

• DOI: 10.1109/tec.2018.2849022
• 发表时间: 2018
• 期刊: IEEE Transactions on Energy Conversion
• 影响因子: 4.9
• 作者: Wang, Xiao;Gao, David Wenzhong;Wang, Jianhui;Yan, Weihang;Gao, Wei;Muljadi, Eduard;Gevorgian, Vahan
• 通讯作者: Gevorgian, Vahan

Implementing Inertial Control for PMSG-WTG in Region 2 using Virtual Synchronous Generator with Multiple Virtual Rotating Masses

• DOI: 10.1109/pesgm40551.2019.8973788
• 发表时间: 2019-08
• 期刊: 2019 IEEE Power & Energy Society General Meeting (PESGM)
• 作者: Weihang Yan;W. Gao;Wenzhong Gao;V. Gevorgian

A Distributed Double-Newton Descent Algorithm for Cooperative Energy Management of Multiple Energy Bodies in Energy Internet

• DOI: 10.1109/tii.2020.3029974
• 发表时间: 2020-10
• 期刊: IEEE Transactions on Industrial Informatics
• 影响因子: 12.3
• 作者: Yushuai Li;D. Gao;Wei Gao;Huaguang Zhang;Jianguo Zhou