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: $ 7.16万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=703701
• 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.

对能源利用的需求不断增加，对加拿大和全球的可再生能源呼吁（SG）呼吁SG的概念工业互联网（IIOT）SG可以通过连续的自我评估，行式部署以及SG中的IIOT设备和传感器的数量来快速检测评估。 IEEE 802个家庭。 该项目的主要目标是在Hydro-Quebec的SG环境中遇到的，并支持大规模连接。工具，先进的通信理论，机器学习和信号处理技术将使托普式托上一个新颖的IIT-NETWORK范式，以应对未来SG的挑战。 相关领域的专业知识是该项目成功的重要资产。因此，利用，因此减少了电网引起的温室效应。