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.

该项目的重点是基于新技术的高级控制技术开发，用于分析和增强网络微电网的稳定性特征，这是与各种分布式能源（DER）单元集成的复杂系统。丹佛大学已与我们的行业合作伙伴Encorp和国家可再生能源实验室（NREL）组建了一支出色的合作目标项目团队。该项目的主要新颖性是：研究分布式，最佳控制策略和微电网的稳定特征；探索新的控制技术以增强微电网的稳定性；并与我们的行业合作伙伴进行技术验证和商业化。该项目是独一无二的，因为提出的控制方法可以以分布式方式优化具有增强稳定性的生成资源。该项目的另一个独特方面是对所提出方法的计算机仿真和实时实现/物理测试的结合。这项研究的发现可以应用于塑造电网未来的技术和演示。网络微电网的开发以及提议的控制，优化和分析方法不仅会促进分布式可再生能源资源的渗透率增加，而且还可以增强低或中型电压分布网络的可靠运行。拟议的研究提供了一项独特的研究设置，从纯粹的学术机构中无法获得。研究生和本科生，包括来自代表性不足的团体的研究生和本科生将从我们拟议的研究和发展工作的教育结果中受益匪浅。该项目的主要研究人员和高级人员将开展一系列活动，以促进微电网和智能网格技术，以进行研究综合的教育和宣传。我们技术对能源市场的实现渗透将产生重大的社会和商业影响，并会产生重大的社会和商业影响，并有助于改变我们的能源基础设施，使我们的能源基础设施变得富有弹性。我们的微电网控制技术将提高我们的权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

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

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