IoT-based monitoring, analysis and supervisory control of voltage harmonics in a three-phase system using four singles tuned lowpass filter

Abstract

Total Harmonic Distortion is a vital part of communications, power distribution, and audio. In power distribution, it must be kept as low as possible. Voltage pollution occurs at the point of common coupling, which leads to a higher THD. Higher THD ensues thermal stress to the system where issues in the power system arise. Odd harmonic frequencies, specifically, the 5th, 7th, 11th, and 13th are the primary cause of the increase in THD. Several ways to reduce harmonics are the use of reactors, passive filters, and active front end solutions. This study is focused on minimizing the voltage harmonics by monitoring the voltage coming from a three-phase system by using four single-tuned filters that will tune out the unwanted harmful frequencies. The data will send through the IoT analytics platform which can then be viewed from ThingView, and the filters can be controlled through Arest.io. The system was compared to an oscilloscope then used Root-Mean-Square Error for system reliability test and yielded 0.097696 for data without filter and 0.048485 for data with a filter. Lastly, the system effectively decreased the THD by 32% compared to an unfiltered source.