CIF: Small: Collaborative Research: From Communication to Power Networks: Adaptive Energy Management for Power Systems with Renewables

CIF：小型：合作研究：从通信到电力网络：可再生能源电力系统的自适应能源管理

• 批准号: 1421583
• 负责人: Nikolaos Gatsis
• 金额: $ 17.14万
• 依托单位: University of Texas at San Antonio
• 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: 2014-09-01 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1421583&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Communication

Pressing environmental issues, security of energy supply sites, as well as their reliability in case of grid outages, drive research and development efforts toward renewable energy sources (RES) worldwide. RES however are volatile and intermittent, exhibit large fluctuations, and are certainly uncertain. Accounting for the uncertainty of RES is key to efficient management of distributed energy resources (DER), which include electricity generators, energy storage units (batteries) and programmable loads (such as smart appliances). These are the basic entities of a microgrid comprising a localized collection of DER that can operate in either grid-connected or islanded modes. Attractive features of microgrids include the ability to integrate constantly growing amounts of green energy, and highly reliable autonomous operation even in case of grid outages, e.g., under natural disasters. The overarching theme of this project is reliable and economic microgrid energy management that accounts for the uncertainty and volatility of high-penetration renewables. In particular, this research addresses the major microgrid energy management challenges through development of (i) robust and risk-constrained methodologies, which adapt to the uncertain RES; and (ii) tractable, scalable, and decentralized control and coordination of DER units. One of the main features of this project?s research is scheduling of controllable DER, such as fuel-based generators, batteries, and smart appliances, in a way that guarantees system-wide efficiency objectives even in the face of unpredictable RES generation. Emphasis is also placed on development of scalable algorithms, whose complexity increases gracefully with the proliferation of generation and storage units as well as and controllable loads in microgrids, and modern distribution systems, in general. In a nutshell, this project contributes to significantly upgrading the analysis and design of microgrid operations

紧迫的环境问题、能源供应站点的安全性及其在电网中断时的可靠性，推动了全球可再生能源 (RES) 的研发工作。然而，RES 具有波动性和间歇性，表现出较大的波动，并且当然具有不确定性。考虑可再生能源的不确定性是有效管理分布式能源（DER）的关键，分布式能源包括发电机、储能单元（电池）和可编程负载（例如智能电器）。这些是微电网的基本实体，由分布式能源的本地集合组成，可以在并网或孤岛模式下运行。微电网的吸引人的特点包括能够整合不断增长的绿色能源，以及即使在电网中断（例如自然灾害）的情况下也能高度可靠的自主运行。该项目的首要主题是可靠且经济的微电网能源管理，解决高渗透率可再生能源的不确定性和波动性。特别是，本研究通过开发（i）稳健且风险受限的方法来解决微电网能源管理的主要挑战，这些方法适应不确定的可再生能源； (ii) 分布式能源单元的易于处理、可扩展且分散的控制和协调。该项目研究的主要特点之一是对可控分布式能源（例如燃料发电机、电池和智能电器）进行调度，即使面对不可预测的可再生能源发电，也能保证整个系统的效率目标。重点还放在可扩展算法的开发上，其复杂性随着发电和存储单元以及微电网和现代配电系统中的可控负载的激增而优雅地增加。简而言之，该项目有助于显着提升微电网运行的分析和设计