This study introduces an effective compensation strategy for enhancing the performance of an Active Power Filter (APF) scheme, based on state estimation. The latest advancements in photovoltaic technology, such as reduced panel costs, higher efficiency, and improved tracking schemes, have resulted in an enormous PV penetration. However, with the growing popularity of photovoltaic (PV) systems in the distribution network, there is also a growing concern regarding its adverse impacts on power quality (PQ). This deterioration in PQ has sparked a new interest in filtering techniques used in the power system to mitigate these problems. Instead of conventional passive filters, APFs are now being looked upon as the predominant solution. The study compares the harmonics elimination capability of various Kalman Filtering (KF) algorithms to signify the enhanced filtering performance. The proposed novel control technique for PQ enhancement applies the KF approach to generate reference signals. The study applies an adaptive hysteresis band technique in the switching strategy that reduces the complexities in generating reference current. This approach achieves an enhanced filter performance with reduced harmonics and better elimination of distortions. The study analyzed simulated results obtained in MATLAB/Simulink platform, which demonstrate the superiority of the filtering algorithm through the least Total Harmonic Distortion (THD) achieved in source current among all the existing filter technologies.
Author(s) Details:
Md. Ehtesham,
Department of Electrical & Electronics, Maulana Azad National Urdu University, Cuttack Campus, India.
Mohmmad Ahmad,
Department of Electrical Engineering, Rajkiya Engineering College, Bijnor, India.
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