Empowering power distribution: Unleashing the synergy of IoT and cloud computing for sustainable and efficient energy systems

Arul Rajagopalan, Dhivya Swaminathan, Mohit Bajaj*, Issam Damaj, Rajkumar Singh Rathore*, Arvind R. Singh, Vojtech Blazek, Lukas Prokop

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

8 Citations (Scopus)

Abstract

This article gives an in-depth review of the integration of the Internet of Things (IoT) and cloud computing in power systems (PS), to improve power distribution sustainability and efficiency. IoT provides seamless communication throughout the electrical grid by leveraging modern Information and Communication Technology (ICT) and embedded technologies, ushering in an information revolution. The Internet of Energy (IoE) emphasizes the convergence of ICT and energy generation, highlighting IoT's disruptive potential in the electric power industry. Cloud computing, on the other hand, effectively handles data processing, storage, and computational resources. Cloud of Things (CoT), the merging of IoT with cloud computing, provides huge processing capabilities and quick access to computer resources, enabling novel applications and analytics in power distribution. The influence of IoT and cloud-based applications in the distributed generation and renewable energy industries is demonstrated via case studies and real-world scenarios. The introduction of new parameters and optimization strategies highlights the potential for future developments in power technology. To achieve smooth integration and effective resource utilization, proposals for additional research in electric cars and grid-to-vehicle technologies have been made. The integration of CoT into PS has an enormous influence, opening the door for increased efficiency, sustainability, and reliability in the energy sector, as shown by the study's overall findings. Future generations will advance thanks to the CoT, which presents exciting potential for a more eco-friendly and technologically sophisticated energy landscape.
Original languageEnglish
Article number101949
JournalResults in Engineering
Volume21
Early online date27 Feb 2024
DOIs
Publication statusPublished - 29 Feb 2024

Keywords

  • Cloud computing
  • Cloud of things
  • Internet of things
  • Power systems
  • Renewable energy

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