LoT-Based battery monitoring system for improving microgrid management

Abstract

The notable increase in renewable energy sources has initiated a shift in power generation grids and spurred the development of new grid systems, such as smart grids and microgrids. However, these systems require advanced management and monitoring solutions to ensure efficient operation. This project investigates the integration of Internet of Things (IoT) technology into various aspects of a microgrid’s functionality. The main objective is to design a system that improves the reliability and efficiency of battery monitoring systems through an IoT-based data acquisition scheme. The study starts with an overview of recent and conventional grid technologies, emphasizing the benefits, features, and limitations of each grid type. It then transitions to analyzing the role of IoT technology in modern smart grids and microgrids, following a multi-faceted approach to various systems and grid-related concepts. This report presents an approach to integrating IoT into one of the main elements of microgrids: battery monitoring. The findings contribute to a more autonomous and user-friendly system with a simpler schematic compared to wire dependent systems that are more frequently subjected to environmental errors, enhanced by the ease of use of wireless communication. The proposed system is designed and implemented via simulation after a thorough comparison of each device comprising the system (Microcontroller, sensors…etc). The framework utilizes a set of sensors and algorithms to extract and process the required data. The results are analyzed, demonstrating a significant improvement in response time and efficiency of data acquisition compared to standard systems.