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

紧迫的环境问题，能源供应站点的安全性，以及电网中断情况下的可靠性，推动了全球可再生能源（RES）的研究和开发工作。然而，可再生能源是不稳定和间歇性的，表现出很大的波动，当然是不确定的。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（如智能电器）。这些是微电网的基本实体，包括可在并网或孤岛模式下运行的局部DER集合。微电网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的情况下（例如在自然灾害下）也能高度可靠地自主运行。该项目的首要主题是可靠和经济的微电网能源管理，这说明了高渗透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)适应不确定可再生能源的稳健和风险约束方法来解决主要的微电网能源管理挑战；（ii）可处理、可扩展和分散的DER单元控制和协调。这个项目的主要特点是什么？他的研究是调度可控的可再生能源，如燃料发电机、电池和智能电器，即使面对不可预测的可再生能源发电，也能保证系统范围的效率目标。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可控负载的扩散而优雅地增加。简而言之，该项目有助于显著提升微电网运行的分析和设计

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