Integrating Artificial Intelligence Internet of Things and 5G for Next-Generation Smartgrid: A Survey of Trends Challenges and Prospect

被引：85

作者：

Esenogho, Ebenezer ^{[1
]}

Djouani, Karim ^{[1
]}

Kurien, Anish M. ^{[1
]}

机构：

[1] Tshwane Univ Technol, French South African Inst Technol FSATI, Dept Elect Engn, ZA-0001 Pretoria, South Africa

来源：

IEEE ACCESS | 2022年 / 10卷

基金：

新加坡国家研究基金会;

关键词：

Smart grids; Artificial intelligence; Next generation networking; 5G mobile communication; Internet of Things; Distribution networks; Market research; 5G; artificial intelligence (AI); Internet of Things (IoT); next-generation smartgrid; network slicing; TRANSIENT STABILITY ASSESSMENT; FAULT-DETECTION; POWER-SYSTEMS; NEURAL-NETWORK; LOAD; MODEL; CLASSIFICATION; PREDICTION; ELM; IOT;

D O I：

10.1109/ACCESS.2022.3140595

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Smartgrid is a paradigm that was introduced into the conventional electricity network to enhance the way generation, transmission, and distribution networks interrelate. It involves the use of Information and Communication Technology (ICT) and other solution in fault and intrusion detection, mere monitoring of energy generation, transmission, and distribution. However, on one hand, the actual and earlier smartgrid, do not integrate more advanced features such as automatic decision making, security, scalability, self-healing and awareness, real-time monitoring, cross-layer compatibility, etc. On the other hand, the emergence of the digitalization of the communication infrastructure to support the economic sector which among them are energy generation and distribution grid with Artificial Intelligence (AI) and large-scale Machine to Machine (M2M) communication. With the future Massive Internet of Things (MIoT) as one of the pillars of 5G/6G network factory, it is the enabler to support the next generation smart grid by providing the needed platform that integrates, in addition to the communication infrastructure, the AI and IoT support, providing a multitenant system. This paper aim at presenting a comprehensive review of next smart grid research trends and technological background, discuss a futuristic next-generation smart grid driven by artificial intelligence (AI) and leverage by IoT and 5G. In addition, it discusses the challenges of next-generation smart-grids as it relate to the integration of AI, IoT and 5G for better smart grid architecture. Also, proffers possible solutions to some of the challenges and standards to support this novel trend. A corresponding future work will dwell on the implementation of the discussed integration of AI, IoT and 5G for next-generation smart grid, using Matlab, NS2/NS3, Open-daylight and Mininet as soft tools and compare with related literature.

引用

页码：4794 / 4831

页数：38

共 200 条

[1] Accurate photovoltaic power forecasting models using deep LSTM-RNN [J].