Intelligent Industrial-Internet-of-Things Network-Paradigm for the Next-Generation of Smart Grids

智能工业-物联网网络-下一代智能电网的范式

• 批准号: 552856-2020
• 负责人: Kaddoum, Georges
• 金额: $ 8.04万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722643
• 关键词: Intelligent; Industrial; Internet; Things; Network

The increasing demand for efficient energy-utilization and more dependency on renewable energy sources calls for a continuous upgrade of the smart grid (SG) in Canada and globally. The concept of SG is enabled by the shared information provided by real-time monitoring and controlling devices distributed across its premises. By leveraging the industrial internet of things (IIoT) to provide better solutions to enhance its operations, the SG can quickly detect and resolve service issues through continuous self-assessment, which increases its efficiency and overall performance. The large-scale deployment and the number of IIoT devices and sensors in the SG necessitate the support of various wireless technology standards such as the Low Power Wide Area Network, and IEEE 802 families. Nevertheless, wireless connectivity in SG environments faces particular implementation challenges, such as the presence of impulsive noise (IN), the inexistence of infrastructure for the noncellular IIoT families, and the massive heterogeneous devices, which hinder its widespread deployment.The main objective of this project, which is in line with the research strategy of Hydro-Québec, is to design a robust and intelligent IIoT-network paradigm that is resilient to the IN encountered in Hydro-Québec's SG environments and support massive connectivity. To achieve this objective, innovative solutions for IN characterization, receiver-design, random-access channel, and resource management will be explored. In this vein, optimization tools, advanced communication theory, machine learning, and signal processing techniques will be used to propose a novel IIoT-network paradigm that copes with the challenges of the future SG.The expertise of the applicants and Hydro-Québec researchers in the related fields will be a great asset to the success of this project. This project will have the following benefits to Canada: 1) Providing leading-edge training for graduate students on the most demanded fields of industry 4.0; 2) Contribute to advance knowledge in IIoT for effective operation and control of the SG leading to reduced outages, efficient energy-utilization, and hence reduce the greenhouse effects caused by the power grid.

对高效能源利用的需求日益增加，对可再生能源的依赖程度越来越高，这要求加拿大和全球智能电网（SG）不断升级。SG的概念是由分布在其场所的实时监控设备提供的共享信息实现的。通过利用工业物联网（IIoT）提供更好的解决方案来增强其运营，SG可以通过持续的自我评估快速检测和解决服务问题，从而提高其效率和整体性能。SG中工业物联网设备和传感器的大规模部署和数量需要支持各种无线技术标准，例如低功耗广域网和IEEE 802系列。然而，SG环境中的无线连接面临着特殊的实施挑战，例如脉冲噪声（IN）的存在，非蜂窝IIoT系列基础设施的不存在，以及阻碍其广泛部署的大量异构设备。该项目的主要目标符合Hydro-Québec的研究战略，是设计一个强大的智能IIoT网络范例，该范例能够适应Hydro-Québec的SG环境中遇到的IN，并支持大规模连接。为了实现这一目标，创新的解决方案，在表征，接收机设计，随机接入信道和资源管理将被探索。在这种情况下，优化工具，先进的通信理论，机器学习和信号处理技术将用于提出一种新的IIoT网络范式，以应对未来SG的挑战。申请人和Hydro-Québec研究人员在相关领域的专业知识将是该项目成功的重要资产。该项目将为加拿大带来以下好处：1）为研究生提供最需要的工业4.0领域的前沿培训; 2）促进工业物联网的知识，以有效运营和控制SG，从而减少停电，有效利用能源，从而减少电网造成的温室效应。