EAGER: Collaborative Research: Fusion of Data and Power for a Controllable Delivery Power Grid

EAGER：协作研究：数据与电力融合，构建可控输送电网

• 批准号: 1640715
• 负责人: Ahmed Mohamed
• 金额: $ 4万
• 依托单位: CUNY City College
• 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: 2016-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1640715&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Fusion; Data

Currently, electrical power distribution systems rely on permanently energized grids - electricity is transmitted constantly from the provider to users. Consequently, loads can be connected to the power grid without prior consent from the provider, giving rise to discretionary load access and thereby straining the grid's stability. Safety margins are required to satisfy sudden and spontaneous demands. At the same time, the intermittent availability of renewable sources adds yet another pressing condition on balancing existing grids. Finally, the discretionary and essentially unrestricted access to power comes at the price of grid vulnerabilities, such as cascading failures. The PIs propose a proactive digital management approach to the power grid called the controlled-delivery grid (CDG), which is cognizant of the load before energy is delivered. Users have specific addresses and issue requests for energy in advance and for a specific duration of time in the CDG. Distribution points then manage the amount and duration of energy delivery. The PIs central hypothesis is that techniques derived from network management and control research can be applied to the smart grid enabling more efficient, more robust, and more secure delivery of energy. This high-risk / high-reward proposal will investigate feasibility of this approach. Through the implementation and use of a micro-grid test bed, the PIs propose to analyze the feasibility of fusion of digital data and high-voltage signals and demonstrate seamless integration of alternative energy sources (e.g., solar energy) with the micro-grid while using the CDG's framework. The PIs will also study methods for allocation and distribution of electrical power for a CDG framework. The novel concept ascertains targeted delivery of energy to specific users, thus simultaneously minimizing overall power overhead and conservation of non-renewable energy resources. This new grid will also increase robustness against failures and enable sudden resumption of service through proactive surge management, an ability to negotiate reduced power rates in return for lower consumption in real time, and an ability to route energy from alternative sources back to the grid without compromising grid stability.

目前，电力分配系统依赖于永久通电的电网-电力不断从供应商传输到用户。因此，负载可以在没有事先得到供应商同意的情况下连接到电网，从而引起任意负载接入，从而影响电网的稳定性。需要有安全裕度来满足突然和自发的需求。与此同时，可再生能源的间歇性供应给平衡现有电网增加了另一个紧迫条件。最后，自由裁量和基本上不受限制的电力供应是以电网脆弱性为代价的，如级联故障。 PI提出了一种称为受控输送电网（CDG）的电网主动数字管理方法，该方法在能量输送之前就知道负载。用户有具体的地址，并提前在CDG中发出特定时间段的能源请求。然后，分配点管理能量输送的量和持续时间。 PI的核心假设是，从网络管理和控制研究中获得的技术可以应用于智能电网，从而实现更高效，更强大，更安全的能源输送。 这个高风险/高回报的提案将研究这种方法的可行性。 通过实施和使用微电网试验台，PI建议分析数字数据和高压信号融合的可行性，并演示替代能源的无缝集成（例如，太阳能）与微电网，同时使用CDG的框架。PI还将研究CDG框架的电力分配和分配方法。 这一新概念确保了向特定用户有针对性地输送能源，从而同时最大限度地减少了总电力开销并节约了不可再生能源。这个新电网还将提高故障鲁棒性，并通过主动的浪涌管理、协商降低电价以换取真实的更低消耗的能力以及将能源从替代能源路由回电网而不影响电网稳定性来实现突然恢复服务。