Harmonic Mitigation in PV-Wind Hybrid System with Non-Linear Loads using Deep Learning Algorithm Controlled DSTATCOM

Distribution static compensator (DSTATCOM) is a shunt custom power device that is often used to address power quality issues in distribution systems. The control scheme of the DSTATCOM plays a vital role in managing the reactive power by injecting current to stabilize voltage at the point of common coupling. This work presents Deep Learning (DL) based novel control technique for the grid interactive hybrid PV-Wind system to mitigate the harmonics caused by non-linear loads. The harmonic analysis of the proposed system is tested and compared before and after compensation. The results obtained for the proposed control technique for the hybrid system clearly projects its efficiency in the improvement of power quality. Total harmonic distortion (THD) obtained by the proposed control technique for the hybrid system is much lesser compared to PV and Wind isolated systems.