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弹性是一个紧迫的问题，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，微电网是一种新兴且有前途的范例。微电网是一种小型网络，旨在为小型社区（例如购物中心、工业园区或大学校园）提供电力和热负荷。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，微电网是一个单一实体，可以为更大的电网发电或消耗电力。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轻松引入和快速发展新型计算机控制异构技术。 然而，具有重要可再生能源成分的微电网可能会经历发电的快速变化。在这些波动期间实现快速电压和频率控制极其重要，否则系统可能会失去负载和发电之间的平衡，并最终可能崩溃。 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该技术。对于该项目，SDN 技术将具有三个一般用途：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)支持低延迟交付以及与微电网控制相关的数据流监控。 该项目将与康涅狄格大学设施运营部门和微电网承包商施耐德电气密切合作，采用两阶段方法进行示范和评估。 在第一阶段，它将使用虚拟硬件在环环境，接收来自微电网的实时测量结果并密切模仿实际的微电网状态。具体来说，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使用来自运行微电网的实时测量数据进行跟踪驱动的模拟。 一旦第一阶段演示和评估了这些技术，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，以便进一步评估和完善，并可能被 Depot 微电网采用。

项目成果

Enabling Resilient Microgrid Through Programmable Network

通过可编程网络实现弹性微电网

• DOI: 10.1109/tsg.2016.2589903
• 发表时间: 2017-11-01
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Lingyu Ren;Yanyuan Qin;B. Wang;Peng Zhang;P. Luh;Ruofan Jin
• 通讯作者: Ruofan Jin

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: 2016-07
• 期刊: 2016
• 作者: Li, Yan;Zhang, Peng;Ren, Lingyu;Orekan, Taofeek
• 通讯作者: Orekan, Taofeek

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

使用显式无穷小发电机离散化的大延迟网络物理电力系统的高效特征分析

• DOI: 10.1109/tpwrs.2015.2463109
• 发表时间: 2016-05-01
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Hua Ye;Yutian Liu;Peng Zhang
• 通讯作者: Peng Zhang

Modeling and Affine Parameterization for Dual Active Bridge DC-DC Converters

双有源桥 DC-DC 转换器的建模和仿射参数化

• DOI: 10.1080/15325008.2014.997327
• 发表时间: 2015-03
• 期刊: Electric Power Components and Systems
• 影响因子: 1.5
• 作者: Syed, Imran;Xiao, Weidong;Zhang, Peng
• 通讯作者: Zhang, Peng

Analysis and Detection of Forced Oscillation in Power System

电力系统受迫振荡分析与检测

• DOI: 10.1109/tpwrs.2016.2580710
• 发表时间: 2017-03-01
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Hua Ye;Yutian Liu;Peng Zhang;Z. Du
• 通讯作者: Z. Du