Internet of Things (IoT) Based Power Quality Monitoring System

Abstract

Every electrical network experience various power quality disturbance that necessitates meticulous planning, preparation, measurement, and, most crucially, the ability to promptly identify issues as they arise. Currently, the system faces limitations in remote data access and experiences delays in identifying disturbances due to the manual analysis required once disturbances are detected. The objective of this research is to integrate IoT technology to enhance the system by enabling real-time remote data access and automated classification of disturbances. The methodology of this project involves three main stages: first, generating power quality disturbance signals using Simulink software; second, developing a disturbance classification system on Arduino; and finally, designing and implementing a monitoring system on Arduino using ThingSpeak as the IoT component. The results demonstrate the successful detection and classification of the tested power quality disturbances by the developed monitoring system.