Shunt Active Power Filter With Intelligent Control Algorithm for Power Quality Enhancement in Electrical Distribution System

Aim: The research addresses the critical issue of power reliability in electrical distribution networks. Harmonic distortions, voltage fluctuations, and reactive power negatively impact the efficiency and dependability of modern electrical systems. This project introduces a Shunt Active Power Filter (SAPF) equipped with an intelligent control mechanism that compensates for reactive power and reduces harmonics in real time, ensuring a stable and distortion-free power supply to connected loads. The intelligent control system adapts dynamically to changing load conditions, optimizing the filter's performance for maximum efficiency. Materials and Methods: In this research, there are two groups .Group 1 refers to a particle swarm optimization method with 30 samples and Group 2 refers to matrix based least square method with 30 samples. Results: The simulation and experimental results indicate significant improvements in harmonic suppression, load factor correction, and overall system efficiency. Notably, energy efficiency improved from 85% to 96%, demonstrating that the intelligent SAPF provides a robust and adaptive solution to power reliability challenges. This innovative approach contributes to the development of sustainable and intelligent power distribution systems suitable for modern energy management. Conclusion: The research demonstrates that an intelligent Shunt Active Power Filter significantly enhances power reliability and efficiency, boosting energy efficiency.