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Implementation of a Fully-automated Optimized Fog-computing-based IoT-controlled PV Network

Authors:
Adel AlWaqfi
Mohammad Abdel-Rahman
Yunis Al-Qreenawi
Zain AlHwaidy
Ahmad Abu-El-Haija

Keywords: Photovoltaic (PV) systems; IoT; fog computing; automation

Abstract:
The Internet of Things (IoT) is revolutionizing almost every aspect of our lives. Smart grids are one example of this. Integrating IoT into various fields is a challenging task. In this paper, we present a detailed implementation of a fog-computing-based IoT system for monitoring and controlling a photovoltaic (PV) power network. As a case study, the implemented system is used to facilitate automatic energy routing within two PV systems feeding different loads. Our results demonstrate the ability of our IoT system to efficiently and automatically monitor and control a network of PV systems.

Pages: 42 to 48

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-68558-054-4

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023