US Ignite: Focus Area 1: An Integrated Reconfigurable Control and Self-Organizing Communication Framework for Advanced Community Resilience Microgrids

US Ignite：重点领域 1：用于高级社区弹性微电网的集成可重构控制和自组织通信框架

• 批准号: 1915756
• 负责人: Lei Wu
• 金额: $ 47.7万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1915756&HistoricalAwards=false
• 关键词: US; Ignite; Focus; Area; Integrated

The United States is experiencing an increasing frequency of catastrophic weather events that inflict serious social and economic impacts. A critical issue associated with such catastrophes is the availability of electricity for the recovery efforts. Community resilience microgrids can connect critical loads in the community and share the distributed energy resources of multiple providers to enhance the availability of electricity supply during disruptions. However, community resilience microgrids are complex networked systems, and their operation can be often interrupted or halted due to the cascaded growth of failures in interconnected electrical and communications components or the unwillingness or inability of individual microgrid partners to respond. In order to enable the full functionality of community resilience microgrids, this project investigates an integrated reconfigurable control and self-organizing communication framework for enhancing operations in both grid-connected and islanded modes. The effectiveness and benefit of the proposed framework will be demonstrated and evaluated through the hardware-in-the-loop simulation and an actual community microgrid project, which will ultimately provide a model for the successful deployment of community resilience microgrids in the U.S. and beyond. In addition to including doctoral students in research and creating educational materials for the next generation operators and researchers of electrical and communications systems, projects will involve underrepresented students in evaluating social, economic, and resilience benefits of integrated control and communication approaches.Coordinated dynamic control strategies for distributed energy resources and loads of multiple owners across different timescales, together with their distinct communication requirements, are the key to the resilient and economic operation of community microgrids in both grid-connected and islanded modes. This research will address these challenges by (1) exploring a hierarchically reconfigurable centralized/distributed control strategy to optimally manage power flows of distribution lines, dispatches of distributed energy resources and flexible loads, and the voltage and frequency of the microgrid across multiple timescales; (2) investigating a self-organizing infrastructure with network topology adjustment and multi-scale data aggregation for flexible, fast, and reliable communication; (3) developing an integrated reconfigurable control and self-organizing communication framework to study the interdependency and interaction between control strategies and communication requirements; and (4) validating, demonstrating, and promoting the developed framework through the hardware-in-the-loop simulation and an ongoing community microgrid project.

美国正在经历越来越频繁的灾难性天气事件，造成严重的社会和经济影响。与这种灾难有关的一个关键问题是恢复工作所需的电力供应。社区弹性微电网可以连接社区的关键负载，并共享多个供应商的分布式能源，以提高中断期间电力供应的可用性。然而，社区复原力微电网是复杂的网络系统，由于互联的电力和通信组件故障的级联增长，或者个别微电网合作伙伴不愿意或没有能力做出响应，其运营往往会中断或停止。为了使社区弹性微电网的全部功能，该项目研究了一个集成的可重新配置的控制和自组织通信框架，以加强在电网连接和孤岛模式的操作。拟议框架的有效性和效益将通过硬件在环仿真和实际社区微电网项目进行演示和评估，最终将为美国及其他地区成功部署社区弹性微电网提供模型。除了让博士生参与研究并为电气和通信系统的下一代运营商和研究人员创建教育材料外，项目还将让代表性不足的学生参与评估集成控制和通信方法的社会，经济和弹性效益。再加上其独特的通信要求，是社区微电网在电网连接和孤岛模式下弹性和经济运行的关键。本研究将通过（1）探索一种分层可重构的集中/分布式控制策略，以优化管理配电线路的功率流、分布式能源和灵活负载的调度以及跨多个时间尺度的微电网的电压和频率;（2）研究具有网络拓扑调整和多尺度数据聚合的自组织基础设施，以实现灵活、快速和可靠的通信;（3）开发集成的可重构控制和自组织通信框架，以研究控制策略和通信需求之间的相互依赖性和相互作用;以及（4）通过硬件在环仿真和正在进行的社区微电网项目来验证、演示和推广所开发的框架。

项目成果

Reputation-enabled Federated Learning Model Aggregation in Mobile Platforms

• DOI: 10.1109/icc42927.2021.9500928
• 发表时间: 2021-06
• 期刊: ICC 2021 - IEEE International Conference on Communications
• 作者: Yuwei Wang;B. Kantarci

Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach

• DOI: 10.1109/tsg.2019.2931753
• 发表时间: 2020-03-01
• 期刊: IEEE TRANSACTIONS ON SMART GRID
• 影响因子: 9.6
• 作者: Elsayed, Medhat;Erol-Kantarci, Melike;Li, Jie
• 通讯作者: Li, Jie

Integrating High DER-Penetrated Distribution Systems into ISO Energy Market Clearing: A Feasible Region Projection Approach

将高 DER 渗透率的配电系统集成到 ISO 能源市场清算中：一种可行的区域预测方法

• DOI: 10.1109/tpwrs.2020.3028859
• 发表时间: 2020
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Wu, Lei;Liu, Yikui;Chen, Yonghong;Li, Jie
• 通讯作者: Li, Jie

Power Loss-Aware Transactive Microgrid Coalitions under Uncertainty

• DOI: 10.3390/en13215782
• 发表时间: 2020-11
• 期刊: Energies
• 影响因子: 3.2
• 作者: M. Sadeghi;Shahram Mollahasani;M. Erol-Kantarci

Transfer Reinforcement Learning for 5G New Radio mmWave Networks

• DOI: 10.1109/twc.2020.3044597
• 发表时间: 2021-05-01
• 期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
• 影响因子: 10.4
• 作者: Elsayed, Medhat;Erol-Kantarci, Melike;Yanikomeroglu, Halim
• 通讯作者: Yanikomeroglu, Halim