Enabling Reliable Networked Microgrids for Distribution Grid Resiliency

实现可靠的联网微电网，提高配电网的弹性

• 批准号: 1611095
• 负责人: Peng Zhang
• 金额: $ 30万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1611095&HistoricalAwards=false
• 关键词: Enabling; Reliable; Networked; Microgrids; Distribution

This project investigates novel approaches to promote reliable networked microgrid operations in the face of various cyber and physical disturbances. Power distribution grid resiliency is a challenging problem with significant economic and security impacts that has been exacerbated in recent years by the increase in extreme weather events and cyber threats. Recently, networked microgrids have become an emerging paradigm that demonstrates resiliency benefit to their local customers. However, lack of awareness of stability margin, inadequate capability to respond to grid disturbances, and vulnerabilities to communication failure, delay, and cyber-attacks can undermine the capability of networked microgrids to improve distribution grid resiliency. The research project will create and implement networked microgrids solutions on a novel cyber infrastructure to ensure distribution grid resiliency. This cyber infrastructure is based on Software-Defined Networking. Specifically, the project has three main objectives: (1) To establish a formal analysis method to tractably assess networked microgrid stability; (2) To devise a new concept of microgrid active fault management (AFM) enabled through online distributed optimization; and (3) To build a Software-Defined Networking (SDN) based architecture to enable highly resilient networked microgrids. The project will contribute new formal analysis theories for deeper understanding of microgrid stability under high levels of renewable generation. The idea of integrating distributed optimization and power electronic control will pave the way for building grid-friendly networked microgrids, significantly contributing to grid resiliency. The novel SDN-based architecture and techniques will open the door for innovations in devising secure, reliable, and fault-tolerant algorithms for managing resilient networked microgrids and active distribution networks. Overall, the proposed new model-based and data-intensive technologies together will provide scalable, dependable and intelligent solutions to otherwise intractable problems in integrating complex networked microgrids. Building on the team's successes in minority student recruitment and undergraduate education and leveraging existing resources, the education plan targets underrepresented minorities and pre-college students to contribute to the preparation of the next-generation workforce in power engineering. The research results will be integrated in new Microgrids courses for educating university students and power engineering professionals.

该项目研究了在面对各种网络和物理干扰时促进可靠的网络化微电网运行的新方法。配电网弹性是一个具有挑战性的问题，具有重大的经济和安全影响，近年来由于极端天气事件和网络威胁的增加而加剧。最近，联网的微电网已成为一种新兴的范例，证明了其本地客户的弹性效益。然而，缺乏对稳定裕度的认识，对电网扰动的响应能力不足，以及对通信故障、延迟和网络攻击的脆弱性可能会破坏联网微电网提高配电网弹性的能力。该研究项目将在新型网络基础设施上创建和实施联网微电网解决方案，以确保配电网的弹性。这种网络基础设施基于软件定义的网络。具体而言，该项目有三个主要目标：（1）建立一种形式化的分析方法，以可追踪地评估网络化微电网的稳定性;（2）设计一种通过在线分布式优化实现的微电网主动故障管理（AFM）的新概念;以及（3）构建一种基于软件定义网络（SDN）的架构，以实现高度弹性的网络化微电网。该项目将为深入理解高水平可再生能源发电下的微电网稳定性提供新的形式化分析理论。集成分布式优化和电力电子控制的想法将为构建电网友好的网络化微电网铺平道路，从而为电网弹性做出重大贡献。基于SDN的新型架构和技术将为设计安全、可靠和容错算法的创新打开大门，以管理弹性联网微电网和主动配电网。总的来说，提出的新的基于模型和数据密集型技术将为集成复杂网络微电网中的棘手问题提供可扩展、可靠和智能的解决方案。基于该团队在少数民族学生招聘和本科教育方面的成功，并利用现有资源，该教育计划针对代表性不足的少数民族和大学预科学生，为电力工程下一代劳动力的准备做出贡献。研究成果将被纳入新的微电网课程，用于教育大学生和电力工程专业人员。

项目成果

Ensuring Cyberattack-Resilient Load Forecasting with A Robust Statistical Method

• DOI: 10.1109/pesgm40551.2019.8973804
• 发表时间: 2019-08
• 期刊: 2019 IEEE Power & Energy Society General Meeting (PESGM)
• 作者: Jieying Jiao;Zefan Tang;Peng Zhang;M. Yue;Chen Chen-Chen;Jun Yan

Active Synchronous Detection of Deception Attacks in Microgrid Control Systems

• DOI: 10.1109/tsg.2016.2614884
• 发表时间: 2017
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Yan Li;Peng Zhang;Liangliang Zhang;B. Wang

Reachability Analysis of Dual Active Bridge DC-DC Converters

双有源桥 DC-DC 转换器的可达性分析

• DOI: 10.1109/ecce.2019.8913224
• 发表时间: 2019
• 期刊: 2019 IEEE Energy Conversion Congress and Exposition (ECCE
• 作者: Wang, Heqiang;Tang, Zefan;Li, Yan;Zhang, Peng
• 通讯作者: Zhang, Peng

Formal Analysis of Networked Microgrids Dynamics

• DOI: 10.1109/tpwrs.2017.2780804
• 发表时间: 2018-05
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Yan Li;Peng Zhang;P. Luh

Distributed Formal Analysis for Power Networks With Deep Integration of Distributed Energy Resources

• DOI: 10.1109/tpwrs.2018.2875150
• 发表时间: 2019-11
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Yan Li;Peng Zhang;M. Althoff;M. Yue