Descriptive IoT Based Design and Implementation of a 3-Input Automatic Transfer Switch with Data Logging Features
Descriptive IoT Based Design and Implementation of a 3-Input Automatic Transfer Switch with Data Logging Features作者机构:Department of Electrical and Electronic Engineering Faculty of Engineering and Technology University of Buea Buea Cameroon
出 版 物:《Journal of Power and Energy Engineering》 (电力能源(英文))
年 卷 期:2023年第11卷第11期
页 面:1-22页
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:Automatic Transfer Switch GSM Module Solar Microcontroller Power Re-lay Sensor
摘 要:Electricity is crucial for critical sectors such as banking, healthcare, education, and business. However, in developing nations like Cameroon, persistent power fluctuations and outages present significant challenges, leading to communication disruptions, food spoilage, water supply interruptions, and financial losses. This study proposes a novel solution: a three-input automatic transfer switch integrated with Internet of Things (IoT) and data logging capabilities. The system automatically switches between three independent power sources based on priority and availability, employing electromechanical contactors, relays, and timers for seamless switching. It incorporates ATMEGA328P microcontrollers, a GSM module for communication, and an SD card module for efficient data logging. Safety measures, such as miniature circuit breakers, voltage monitoring relays, and proper grounding, ensure user protection and system integrity. A user-friendly mobile application enables remote manual switching and real-time system information requests, while SMS notifications inform consumers about power source changes. The system has a power rating of 4.752 kW, accommodating a maximum continuous load of the same value. Voltage dividers provide a reliable 3.37 VDC output from a 12 VDC input, and data logging operates effectively by storing system data onto an SD card every 1.5 seconds. Comprehensive testing validates the system’s performance, with an average percentage error of 2.31% compared to actual values, falling within an acceptable range. This solution distinguishes itself by incorporating modern technologies like data logging and IoT, addressing the limitations of existing alternatives.