I-Corps: Agent Based Control of Assets in Distribution Energy Networks

I-Corps：分布式能源网络中基于代理的资产控制

• 批准号: 1753654
• 负责人: Soummya Kar
• 金额: $ 5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1753654&HistoricalAwards=false
• 关键词: Corps; Agent; Based; Control; Assets

The broader impact/commercial potential of this I-Corps project is in addressing a substantial challenge in energy systems. The future electric power grid, commonly referred to as the smart grid, is expected to differ from the current system by the increased integration of distributed generation, demand response and sensing and communication technologies. As distributed energy resources become more prevalent and shape the future of the electric power grid, the overall operational flexibility of the grid increases. This also means that more control decisions need to be made. This project provides an optimal coordination solution for coordinating geographically scattered energy resources. A commercially viable optimal coordination solution for ever increasing energy resources is crucial for cost efficient generation and dispatch of electricity and ensuring the reliability of the power grid. Specially, focusing on cold chain technologies, this project addresses scalable and flexible control and coordination of distributed refrigeration systems; it is envisioned that the proposed solution and software would turn end-users' pre-installed refrigerators and freezers into an integrated intelligent refrigeration system and significantly improve their energy efficiency.This I-Corps project provides a novel distributed control method that addresses a significant operational challenge of the distribution electric grid. Control of energy systems today is largely performed by centralized computing and control solutions run at central units. Increased infeed measurements (sensing data) result in growing stress and extended time for computations. Thus, centralized control solutions may not be feasibly computed and applied in real-time. This project contributes to fundamentally new methodologies and software for distributed computation of control decisions in real-time. Our research provides a promising solution for the intelligent control of distributed energy resources, which enables the efficient interaction and coordination of a variety of components with and by a central unit. The key premise in this research is that if coordinated in an intelligent, predictive and scalable way, operation of numerous energy resources can be optimized in real-time, thereby resolving the issue of scalability. In addition to extending the proposed distributed control methodology toward achieving reliable and cost effective energy and demand side management, this project focuses on commercializing a more target specific extension of the proposed approach directed at minimizing the operational cost of refrigeration systems in cold chain industries through enhanced distributed coordination.

这个I-Corps项目更广泛的影响/商业潜力是解决能源系统的一个重大挑战。未来的电网，通常被称为智能电网，预计将通过分布式发电，需求响应以及传感和通信技术的日益集成而不同于当前的系统。随着分布式能源变得越来越普遍并塑造电网的未来，电网的整体运营灵活性增加。 这也意味着需要做出更多的控制决策。该项目为协调地理上分散的能源资源提供了最佳协调解决方案。一个商业上可行的最佳协调解决方案，不断增加的能源资源是至关重要的成本效益的发电和电力调度，并确保电网的可靠性。特别是，该项目以冷链技术为重点，解决分布式制冷系统的可扩展和灵活的控制和协调问题;据设想，拟议的解决方案和软件将把终端用户的预安装冰箱和冰柜变成一个集成的智能制冷系统，并大大提高其能源效率。Corps项目提供了一种新的分布式控制方法，解决了配电网的重大运营挑战。今天，能源系统的控制主要是通过在中央单元处运行的集中式计算和控制解决方案来执行的。增加的进料测量（感测数据）导致增加的应力和延长的计算时间。因此，集中控制解决方案可能无法实时计算和应用。该项目为实时分布式计算控制决策提供了全新的方法和软件。我们的研究为分布式能源的智能控制提供了一个很有前途的解决方案，它可以使各种组件与中央单元进行有效的交互和协调。这项研究的关键前提是，如果以智能，预测和可扩展的方式进行协调，可以实时优化众多能源的运行，从而解决可扩展性问题。除了扩展拟议的分布式控制方法，实现可靠和成本效益的能源和需求侧管理，该项目的重点是商业化的一个更具体的目标，旨在通过加强分布式协调，最大限度地减少冷链行业制冷系统的运营成本的拟议方法的扩展。