Artificial Intelligence based PV-Fed Shunt Active Power Filter for IOT Applications

Abstract

In the modern era, the dependency on Internet of Thing based devices becomes more popular because of their safe and easy mode of operation. Most of the equipment used in our daily utilities for example; Television, air conditioner etc. are now constituted as IOT devices. These devices connected through a common internet network are electronic devices which work on small dc voltage thus can be characterized as non-linear devices or non-linear loads. When the IOT system is connected to the main power supply, it draws distorted supply current with unwanted harmonic distortions. This paper illustrates the model design of Photo Voltaic fed Active power filter to reduce the harmonic distortions and to improve power quality of sinusoidal ac supply when fed to IOT devices. Artificial Intelligence methodology is used to generate the reference current signal and switching signal to decide the state of switching of ShAPF. The percentage of harmonic distortions is reduced to less than 5% as per the protocol of IEEE standard 519. The result analysis of AI controlled PV-based ShAPF fed IOT devices has been done using MATLAB/ Simulation software tool.