Design and Analysis of IoT-based Remote Load Monitoring and Outage Management System

Abstract

Monitoring and analyzing the data to locate
the fault and repair it prior to a total system collapse is a
crucial tool for the functioning of a power system. The
purpose of this work is to use this concept to design a
control system that enables the monitoring of critical
parameters governing the distribution of power; the
management of outages via fault detection based on
variations in Voltage, Frequency, and Current; and the
protection of the circuit from significant occurrences
through the isolation of the load from the utility and the
flagging of information through feedback to the utility
authority. The project incorporates cutting-edge
technology for IoT applications, which communicates
with the microcontroller to gather data at predetermined
intervals and then stores that data with relevant
timestamps in a cloud service for later retrieval and
analysis. This breakthrough can potentially lessen
reliance on human intervention and solve the whole
outage scenario by facilitating two-way communication
in which power and information are transferred between
customers and utilities to maximize grid efficiency. The
suggested architecture allows for smart, timestamped
data monitoring, remote access, and historical data
preservation, all contributing to an improved load
profile. The proposed system's outage management
system is built on intelligent fault detection using
Voltage, Frequency, and current variation, followed by
isolating the problematic part from the rest of the
network, keeping an auto circuit recloser application in
place prior to permanent isolation to minimize human
intervention, flag outage information, and provide
emergency backup during the shutdown time; this
prevents the power grid from experiencing a complete
blackout or blackouts.