Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red

Mohammed Almshari, Adil O. Khadidos, Georgios Tsaramirsis, Fazal Qudus Khan, Alaa Khadidos, Iordanis K. Giannopoulos, Assimakis K. Leros, Dimitris Piromalis, Mahipal Bukya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smart grids are popular areas of research as they are an essential component of smart cities, smart homes, IoT, and other popular research areas. Scientific experiments in smart grids may be conducted by researchers who may have limited experience in the field or limited budget or come from different disciplines. This paper is aimed for such a research audience as it demonstrates in some detail and with simple steps, how a small size private smart grid can be installed using low cost, widely available hardware and software. The paper proposes the use of Sonoff POW 2 smart switches, with either windows PC or single board computers such as Raspberry Pi to host the MQTT servers and Node-Red, offering a simple, low-cost but yet effective solution for conducting scientific experiments.

Original languageEnglish
Title of host publicationIntelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021
EditorsAnshuman Tripathi, Amit Soni, Ashish Shrivastava, Ashish Shrivastava, Anil Swarnkar, Jagrati Sahariya
PublisherSpringer Science and Business Media Deutschland GmbH
Pages743-755
Number of pages13
ISBN (Print)9789811902512
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021 - Virtual, Online
Duration: 01-09-202103-09-2021

Publication series

NameLecture Notes in Electrical Engineering
Volume862
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021
CityVirtual, Online
Period01-09-2103-09-21

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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