Power Quality Improvement using Optimal Shunt Active Power Filter with Novel Tilt Derivative and Tilt Integral Controller

Abstract

Any power topologies, such as microgrids (MG) or distributed generation (DG), mix many energy sources with different demand patterns and energy conversion techniques in the Smart Grid(SG).SGs employ power electronic devices, which cause load-side harmonics. These devices interrupt the supply current, deviating it from the fundamental signal. Adding renewable energy sources to the electrical grid and using grid-connected power electronics interfaces have also challenged power quality.Harmonic disturbance reduction and power quality enhancement are important in contemporary power systems. A Shunt Active Power Filter (SAPF) is recommended to regulate voltage and reduce harmonics by managing reactive power, and it also boosts the power factor. This research aims to evaluate harmonic disturbances in the SG and suggest a technique to reduce harmonic distortions and achieve a harmonic distortion level below 5% of the total harmonic distortion (THD). The fundamental contribution of this study is the creation of a complicated control strategy, the Tilt-Derivative (TD) and Tilt-Integral (TI) controller, which effectively regulates and produces switching pulses for the SAPF's Voltage Source Inverter (VSI). A unique metaheuristic algorithm called Dynamic Opposite Learning-based Enhanced Mountain Gazelle Optimisation optimises the controller settings with MATLAB/Simulink.