EAGER: US Ignite: Enabling Highly Resilient and Efficient Microgrids through Ultra-Fast Programmable Networks

EAGER：US Ignite：通过超快可编程网络实现高弹性和高效的微电网

• 批准号: 1419076
• 负责人: Bing Wang
• 金额: $ 29.9万
• 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: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1419076&HistoricalAwards=false
• 关键词: EAGER; US; Ignite; Enabling; Highly

Improving the resilience of the electric distribution control infrastructure is an urgent issue not only to reduce the vulnerability of the power grid to extreme events but also to facilitate the use of green or renewable energy. Among different options, microgrids are an emerging and promising paradigm. A microgrid is a small-scale network designed to supply electrical and heat load of a small community (e.g., a shopping center, an industrial park, or a university campus). It typically contains a set of distributed generators, load, storage and protection devices that are controlled by a central controller. To the main power grid, a microgrid is a single entity that may either produce power for the larger grid or consume power. This dramatically simplifies the interaction between a microgrid and the main grid, allowing for the easy introduction and rapid evolution of new forms of computer control of heterogeneous technologies within the micro-grid domain. However, microgrids with a significant renewable energy component may experience rapid changes in power generation. It is extremely important to achieve fast voltage and frequency control during these swings otherwise the system may lose balance between load and generation and may eventually collapse. Control of microgrids relies on fast, reliable communications; in the most stringent cases messages must be delivered within a few milliseconds. This project will integrate Software Defined Networking (SDN) technology with microgrid control to stabilize and optimize system operation. The project will demonstrate the techniques on a microgrid at the University of Connecticut Depot Campus.For this project SDN technology will have three general uses: route reconfiguration to avoid network performance issues and improve network reliability, packet prioritization to provide Quality of Service (QoS) in support of low latency delivery, and monitoring of data flows associated with microgrid control. The project will use a two phase approach to demonstration and evaluation both in close collaboration with UCONN Facilities Operations and Schneider Electric, the microgrid contractor. In the first phase it will use a virtual hardware-in-the-loop environment that receives real-time measurements from the microgrid and closely mimics the actual microgrid status. Specifically, the environment will contain real communication infrastructure and (small-scale) energy sources and load, while the rest of the system will be through trace-driven simulation using real-time measurements fed from the operational microgrid. Once the first phase has demonstrated and evaluated the techniques the PIs will work with Schneider Electric and UCONN Facilities Operations to incorporate the developed techniques into a larger staging facility for further evaluation and refinement and possible adoption by the Depot microgrid.

提高配电控制基础设施的复原力是一个紧迫的问题，不仅可以减少电网对极端事件的脆弱性，而且可以促进绿色或可再生能源的使用。在不同的选择中，微电网是一个新兴的和有前途的范例。微电网是被设计为供应小社区的电力和热负荷的小规模网络（例如，购物中心、工业园区或大学校园）。它通常包含一组由中央控制器控制的分布式发电机，负载，存储和保护设备。对于主电网来说，微电网是一个可以为较大电网生产电力或消耗电力的单一实体。这极大地简化了微电网和主电网之间的交互，允许在微电网领域内容易地引入和快速发展新形式的异构技术的计算机控制。 然而，具有重要可再生能源组成部分的微电网可能会经历发电的快速变化。在这些摆动期间实现快速电压和频率控制是极其重要的，否则系统可能会失去负载和发电之间的平衡，最终可能崩溃。 微电网的控制依赖于快速、可靠的通信;在最严格的情况下，消息必须在几毫秒内传递。 该项目将软件定义网络（SDN）技术与微电网控制相结合，以稳定和优化系统运行。 该项目将在康涅狄格大学Depot校区的微电网上演示SDN技术。对于该项目，SDN技术将有三个一般用途：路由重新配置以避免网络性能问题并提高网络可靠性;数据包优先级以提供服务质量（QoS）以支持低延迟交付;以及监控与微电网控制相关的数据流。 该项目将采用两个阶段的方法进行演示和评估，并与UCONN设施运营和施耐德电气（微电网承包商）密切合作。 在第一阶段，它将使用虚拟硬件在环环境，从微电网接收实时测量结果，并密切模仿实际微电网状态。具体而言，环境将包含真实的通信基础设施和（小规模）能源和负载，而系统的其余部分将通过跟踪驱动的模拟，使用从运行微电网馈送的实时测量。 一旦第一阶段对技术进行了演示和评估，PI将与施耐德电气和UCONN设施运营部门合作，将开发的技术纳入更大的分级设施中，以便进一步评估和改进，并可能被车辆段微电网采用。

项目成果

Efficient Eigen-Analysis for Large Delayed Cyber-Physical Power System Using Explicit Infinitesimal Generator Discretization

• DOI: 10.1109/tpwrs.2015.2463109
• 发表时间: 2016-05
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Hua Ye;Yutian Liu;Peng Zhang

A Geršgorin theory for robust microgrid stability analysis

用于鲁棒微电网稳定性分析的 GerÅ¡gorin 理论

• DOI: 10.1109/pesgm.2016.7741211
• 发表时间: 2016
• 作者: Li, Yan;Zhang, Peng;Ren, Lingyu;Orekan, Taofeek
• 通讯作者: Orekan, Taofeek

Maximum Lifecycle Tracking for Tidal Energy Generation System

潮汐能发电系统的最大生命周期跟踪

• DOI: 10.1080/15325008.2015.1010664
• 发表时间: 2015
• 期刊: Electric Power Components and Systems
• 影响因子: 1.5
• 作者: Orekan, Taofeek;Zhao, Zhibing;Zhang, Peng;Zhang, Jian;Zhou, Shengli;Cui, Jun-Hong
• 通讯作者: Cui, Jun-Hong

Suppressing Intermittent Subsynchronous Oscillation via Subsynchronous Modulation of Reactive Current

• DOI: 10.1109/tpwrd.2015.2436063
• 发表时间: 2015-06
• 期刊: IEEE Transactions on Power Delivery
• 影响因子: 4.4
• 作者: Jian Zhang;Xiangning Xiao;Peng Zhang;Chao Luo;Yunsheng Wu;Jingjing Lu;Lingyu Ren

Subsynchronous Control Interaction Analysis and Trigger-based Damping Control for Doubly Fed Induction Generator-based Wind Turbines

• DOI: 10.1080/15325008.2015.1131768
• 发表时间: 2016-03
• 期刊: Electric Power Components and Systems
• 影响因子: 1.5
• 作者: Jian Zhang;Xiangning Xiao;Peng Zhang;Jingjing Lu;Taofeek Orekan