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

对高效能源利用的日益增长的需求和对可再生能源的更多依赖要求加拿大和全球不断升级智能电网(SG)。SG的概念是由分布在其办公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发现和解决服务问题，从而提高其效率和整体性能。SG中的大规模部署和IIoT设备和传感器的数量需要各种无线技术标准的支持，如低功率广域网和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家族基础设施的不存在，以及大量的异质设备，这阻碍了其广泛的部署。该项目的主要目标是设计一个稳健且智能的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，将探索智能网特性、接收器设计、随机接入信道和资源管理的创新解决方案。在这一思路下，将使用优化工具、先进的通信理论、机器学习和信号处理技术来提出一种新的IIoT网络范式，以应对未来SG的挑战。申请者和魁北克水电公司研究人员在相关领域的专业知识将是该项目成功的巨大财富。该项目将为加拿大带来以下好处：1)为研究生提供关于工业4.0最需要的领域的前沿培训；2)促进IIoT的先进知识，以有效地运行和控制SG，从而减少停电、高效能源利用，从而减少电网造成的温室效应。

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.