Networking Research for Smart Energy Systems

智能能源系统的网络研究

• 批准号: RGPIN-2020-05985
• 负责人: Elmallah, Ehab
• 金额: $ 1.75万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=750499
• 关键词: Networking; Research; Smart; Energy; Systems

Research on smart energy systems has been moving to the forefront worldwide. Key technological advances that empower such research include the continuing development and harnessing of energy generated from renewable energy resources, and the increasing novel use of distributed computing and communications to balance the supply and demand in the electrical power grid. This latter aspect has enabled the transformation of the traditional electrical grid into a smart cyber-physical infrastructure referred to as the smart grid. The proposed networking research investigates problems in three broad directions related to the above currently evolving vital systems. The first broad direction is on the design and analysis of terrestrial wireless sensor networks (WSNs) and underwater sensor networks (UWSNs) that utilize energy replenishment methods such as environmental energy harvesting or wireless charging to achieve long-lasting operation. Research in this direction is enabled by current advances in designing efficient solar panels, micro wind tribunes, devices that harvest kinetic energy of underwater currents, and wireless charging technologies. A common characteristic of such networks is the fluctuation of a node's energy level over time. Such fluctuations introduce uncertainty in a node's ability to sense and communicate. Consequently, many of the network design and analysis problems that have been investigated for battery operated nodes need to be revisited. We will endeavor to advance the state-of-the-art by designing new efficient, reliable, and intelligent methods for operating such networks. A core aspect in the proposed work is the development of effective methods for dealing with a node's residual energy and a node's foreseeable obtainable energy during any interval of time. The second broad direction pertains to the currently evolving organization of new electrical grids around microgrid networks that provide distributed generation of electrical power. Microgrids can cooperate to complement each other to achieve higher robustness, reliability, and profitability. The proposal addresses distributed coordination problems that arise in this context. The third broad direction considers the uncertainty in knowing many of the operational aspects that can affect the power flow and data flow in a microgrid network, and consequently affect the overall performance of the network. The proposed research in the above areas aims at developing algorithms, protocols, and performance evaluation models to cope with the problems. The methodologies will also incorporate the use of machine learning techniques to develop prediction and learning-based resource management approaches to cope with various uncertainty aspects of the problems.

智能能源系统的研究已在全球范围内走在前列。推动此类研究的关键技术进步包括持续开发和利用可再生能源产生的能源，以及越来越多地使用分布式计算和通信来平衡电网的供需。后一个方面使得传统电网能够转变为被称为智能电网的智能网络物理基础设施。拟议的网络研究调查与上述目前正在发展的重要系统有关的三个广泛方向的问题。第一个广泛的方向是陆地无线传感器网络（WSNs）和水下传感器网络（UWSNs）的设计和分析，这些网络利用环境能量收集或无线充电等能量补充方法来实现长期运行。这一方向的研究得益于目前在设计高效太阳能电池板、微型风力论坛、收集水下电流动能的设备和无线充电技术方面的进展。这种网络的一个共同特征是节点的能量水平随时间的波动。这样的波动在节点的感知和通信能力中引入了不确定性。因此，许多网络的设计和分析问题，已经调查电池供电的节点需要重新审视。我们将奋进通过设计新的高效，可靠和智能的方法来运行此类网络，以推进最先进的技术。在拟议的工作中的一个核心方面是开发有效的方法来处理一个节点的剩余能量和一个节点的可预见的可获得的能量在任何时间间隔。第二个大方向涉及当前围绕微电网网络的新电网的不断发展的组织，微电网网络提供分布式发电。微电网可以相互合作，相互补充，以实现更高的鲁棒性，可靠性和盈利能力。该提案解决了在这种情况下出现的分布式协调问题。第三个大方向考虑了在了解许多操作方面的不确定性，这些操作方面可能会影响微电网网络中的功率流和数据流，从而影响网络的整体性能。在上述领域的拟议研究旨在开发算法，协议和性能评估模型，以科普这些问题。这些方法还将包括使用机器学习技术，以开发基于预测和学习的资源管理方法，以科普问题的各种不确定性。