Autonomous Energy Grids
Autonomous Energy Grids
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自主能源网格
DOI：
10.24251/hicss.2018.341
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
B. Hodge
中科院分区：
文献类型：
--
作者：
B. Kroposki;E. Dall’Anese;A. Bernstein;Y. Zhang;B. Hodge
目前的框架，以监测，控制和优化大规模的能源系统变得越来越不足，因为显着高渗透水平的可变发电和分布式能源资源被集成到电力系统;洪水的数据从无处不在的计量能源电网;和各种新的市场机制，包括多级辅助服务。本文概述了自治能源网（AEGs）的概念。这些系统由可扩展、可重新配置和自组织的信息和控制基础设施支持，非常安全和有弹性（自我修复），并且可以在真实的时间内自我优化，以确保经济和可靠的性能，同时系统地集成各种形式的能源。AEGs依赖于蜂窝构建块，当与较大的电网隔离时可以自我优化，当与较大的电网互连时可以参与最佳操作。本文描述了实现AEG愿景所需的关键概念和研究，包括优化理论、控制理论、大数据分析以及复杂系统理论和建模。
Current frameworks to monitor, control, and optimize large-scale energy systems are becoming increasingly inadequate because of significantly high penetration levels of variable generation and distributed energy resources being integrated into electric power systems; the deluge of data from pervasive metering of energy grids; and a variety of new market mechanisms, including multilevel ancillary services. This paper outlines the concept of autonomous energy grids (AEGs). These systems are supported by a scalable, reconfigurable, and selforganizing information and control infrastructure, are extremely secure and resilient (self-healing), and can self-optimize in real time to ensure economic and reliable performance while systematically integrating energy in all forms. AEGs rely on cellular building blocks that can self-optimize when isolated from a larger grid and participate in optimal operation when interconnected to a larger grid. This paper describes the key concepts and research necessary in the broad domains of optimization theory, control theory, big data analytics, and complex system theory and modeling to realize the AEG vision.