Application of Advanced Filtering Algorithm to Enhance the Power Quality of Photovoltaic System

This study presents a state-estimation based effective compensation strategy for enhancing performance of employed Active Power Filter (APF) scheme. The latest advancements in photovoltaic technology like reduced panel costs, higher efficiency and improved tracking schemes have provided a driving thrust resulting in enormous PV penetration. With the photovoltaic (PV) system becoming highly popular in distribution network, there is also a growing concern regarding its adverse impacts over the power quality (PQ) of integrated system. This deterioration in PQ has sparked a new interest in the filtering techniques used in the power system for mitigating these problems. In contrast to conventional passive filters now APFs are being looked as the predominant solution. The enhanced filtering performance has been also signified by comparing the harmonics elimination capability of various Kalman Filtering (KF) algorithms. A novel control technique for PQ enhancement is proposed where KF approach has been applied for generating the reference signals. Here, an adaptive hysteresis band technique has been applied in the switching strategy which has reduced the complexities in generating reference current. Thus, an enhanced filter performance is achieved with reduced harmonics and better elimination of distortions. Simulated results obtained in MATLAB/Simulink platform have been analyzed completely, where the superiority of filtering algorithm has been also demonstrated through least THD achieved in source current among all the existing filters technologies.