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

目前，电力分配系统依赖于永久通电的电网——电力不断地从供电网传输到用户。因此，负载可以在未经供应商事先同意的情况下连接到电网，从而产生任意负载接入，从而影响电网的稳定性。需要安全边际来满足突发和自发的需求。与此同时，可再生能源的间歇性可用性为平衡现有电网增加了另一个紧迫的条件。最后，自由裁量和基本上不受限制的电力接入是以电网脆弱性（如级联故障）为代价的。pi提出了一种主动的电网数字管理方法，称为控制输电网（CDG），它在能源输送之前就能识别负载。用户在CDG中有特定的地址，并在特定的时间内提前发出能源请求。然后分配点管理能源交付的数量和持续时间。PIs的核心假设是，来自网络管理和控制研究的技术可以应用于智能电网，从而实现更高效、更稳健、更安全的能源输送。这个高风险/高回报的建议将调查这种方法的可行性。通过微电网试验台的实施和使用，pi建议分析数字数据和高压信号融合的可行性，并在使用CDG框架的情况下演示替代能源（如太阳能）与微电网的无缝集成。这些项目还将研究为CDG框架分配和分配电力的方法。这个新概念确定了有针对性地向特定用户提供能源，从而同时最大限度地减少总电力开销并节约不可再生能源。这种新型电网还将增强对故障的鲁棒性，并通过主动浪涌管理，能够实时协商降低电价以换取更低的能耗，以及能够在不影响电网稳定性的情况下将替代能源输送回电网。

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.