Paper Contents
Abstract
The modern power grid faces numerous challenges, including the integration of renewable energy sources, fluctuating demand, and the need for enhanced reliability and security. To address these challenges, this project presents a comprehensive design and implementation of an Internet of Things (IoT)-based smart grid system. The proposed system leverages IoT technology to enable real-time monitoring, control, and optimization of the electrical grid, thereby enhancing its efficiency, reliability, and sustainability. With the growing demand for efficient energy management, modern power systems require smart and reliable monitoring solutions. This project presents the design and implementation of an IoT-based Smart Grid Monitoring System that enables real-time tracking and remote control of electrical loads. The system integrates an Arduino Uno as the central controller, ACS712 current sensor for load monitoring, relay modules for switching control, and ESP8266 Wi-Fi modules for wireless data transmission between the monitoring and control units.The transmitting node collects current data through the ACS712 sensor, processes it via Arduino, and sends it to a remote receiving node through one ESP8266 module. The receiving node, equipped with another ESP8266 and an LCD display, visualizes the real-time data and enables remote load control. Data is also sent to Adafruit IO, a cloud-based platform, for logging and graphical visualization.This system enhances the transparency and efficiency of power usage by enabling remote monitoring, fault detection, and load control, making it a cost-effective and scalable solution for smart grid applications.
Copyright
Copyright © 2025 B. Yathin Kumar Reddy. This is an open access article distributed under the Creative Commons Attribution License.
