Power systems dynamic simulation developments for power quality monitoring:

Abstract

This Master's thesis addresses the critical issue of high harmonics impacting the power grid system's power quality, resulting in financial losses, equipment heat generation, transmission and distribution line problems, and electrical shock to end-users. These harmonics are especially problematic within industrial environments such as steel melting furnaces, where significant voltage and current volatility are observed. This study utilized real-time data measurement at the highest and lowest potential points within these furnaces. It developed MATLAB's dynamic simulation to accurately represent and analyze the sinusoidal waveform of fundamental harmonics and the distinctive harmonics generated within the power system's energy conversion process. This analysis adheres to the specifications outlined in the MNS 1778:2007 and IEEE 519-2014 standards, contributing to understanding and preserving power quality in energy dynamics. The gathered data was imported into Microsoft Excel for further processing and evaluation. MATLAB's Graphical User Interface simulated the harmonic oscillations and changes under varying load conditions. The preliminary findings reveal that the odd harmonics, particularly those not divisible by three, are causing substantial damage to the fundamental harmonics waveform, significantly impacting the electrical grid system. Given the current lack of quality control or standardization in the MNS 1778:2007, it is crucial to integrate the IEEE 519-2014 standard's current quality control measures. Future research will delve into the differences in odd harmonics divided by three and not divided by three and develop strategies to filter them using a hybrid filtering system. Furthermore, the research anticipates implementing current harmonics or quality standards into the Mongolian electrical system, promoting electrical purity in the industrial and mining sectors.