Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1983
Title: Design and Analysis of IoT-based Remote Load Monitoring and Outage Management System
Authors: Anwar, Ahmed Muntasir
Hazari, Md. Rifat
Mannan, Mohammad Abdul
Keywords: Electrical power system
microcontroller
wi-fi module
GSM module
remote data monitoring
demand side
management
outage management system
IoT
Issue Date: May-2023
Publisher: American International University-Bangladesh (AIUB)
Citation: Ahmed Muntasir Anwar, Md. Rifat Hazari and Mohammad Abdul Mannan, “Design and Analysis of IoT-based Remote Load Monitoring and Outage Management System,” AIUB Journal of Science and Engineering (AJSE), Vol. 22, No. 1, pp. 94 - 104, May, 2023.
Abstract: An essential instrument for the operation of a power system is to monitor and analyze the data to find the fault and rectify it before the system collapses completely. This paper intents to utilize the idea to create a control system that will fulfill objectives like monitoring vital parameters controlling the power distribution, outage management by fault detection based on the variation of Voltage, Frequency, and Current & protection of the Circuit against any significant incidents by isolating the load from utility and flagging the information through feedback to the utility authority. The Project implements the high-end technology for IoT applications that will connect with the Microcontroller to receive the data at regular intervals and post the timestamped data in a cloud platform for remote monitoring and archiving. This innovation can reduce human dependency and overcome the whole outage situation by building a two-way communication that means electricity and information are traded between consumers and utilities to capitalize on the efficiency of a grid system. The proposed model offers intelligent monitoring of the timestamped data with remote access & historical data archiving for a better load profile. An outage management system is designed for the proposed system by intellectual fault detection through Voltage, Frequency & current variation, and isolation of the faulty part from the entire system, maintaining an auto circuit recloser application before the permanent isolation for reducing the human interaction & flagging the outage information & supply emergency backup during the shutdown period, and in the process, helping the power grid from total power outage or blackout.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/1983
ISSN: 1608-3679
Appears in Collections:Publications From Faculty of Engineering

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