• Arsh Khan
• Kamran Ali
• Vinita
• Khushi Lal

This project addresses the issue of harmonic distortion in power systems because of harmonics generating devices, such as rectifiers, induction motors, and unbalanced loads, by designing and implementing a Shunt Active Power Filter (SAPF) using advanced control strategies. Harmonics refer to voltage or current waveforms that occur at multiples of the fundamental frequency, and can significantly degrade power quality, leading to reduced efficiency, overheating, and equipment damage. The study involves a comparative analysis of three control techniques for the SAPF: a Proportional-Integral (PI) Controller, a Fuzzy Logic Controller (FLC), and an Artificial Neural Network (ANN)-based controller. The SAPF demonstrated notable Total Harmonic Distortion (THD) reductions, with the PI Controller achieving 5.76%, the FLC-based SAPF improving to 5.19%, and the ANN-based SAPF delivering the best performance at 4.74%. The SAPF design integrates subsystems such as PQ and I Compensation Calculation for determining compensating currents, a Hysteresis Controller for generating switching signals, and a PQ Measurement subsystem for monitoring power quality. These components enable effective harmonic mitigation and improved overall power quality. The ANN-based SAPF's adaptive learning capability and real-time optimization establish it as a superior and practical solution for real-world applications requiring high power quality, highlighting the potential of intelligent control strategies in addressing complex power system challenges.

Harmonic distortion, Shunt Active Power Filter (SAPF), Total Harmonic Distortion (THD), Proportional-Integral (PI) Controller, Fuzzy Logic Controller (FLC), Artificial Neural Network (ANN), non-linear loads, power quality, compensating currents, hysteresis controller, PQ and I Compensation Calculation, PQ Measurement subsystem, adaptive control, real-time optimization, intelligent control strategies.

"COMPARATIVE ANALYSIS OF SHUNT ACTIVE POWER FILTERS UTILIZING PI CONTROLLER, FUZZY LOGIC CONTROLLER, AND ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.g373-g392, December-2024, Available :http://www.jetir.org/papers/JETIR2412643.pdf

"COMPARATIVE ANALYSIS OF SHUNT ACTIVE POWER FILTERS UTILIZING PI CONTROLLER, FUZZY LOGIC CONTROLLER, AND ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppg373-g392, December-2024, Available at : http://www.jetir.org/papers/JETIR2412643.pdf