Power Quality Enhancement in Grid Connected Wind-PV Hybrid Systems with UPQC Control Using Whale Optimization Algorithm

This paper outlines a method for improving power quality in grid-connected wind-photovoltaic hybrid systems that employs a unified power quality conditioner (UPQC) optimized by the whale optimization algorithm (WOA). The system includes a doubly-fed induction generator (DFIG) for conversion of wind energy, which connects the rotor side converter (RSC) and grid side converter (GSC) via a DC-link capacitor to ensure efficient energy transfer and voltage stability. The UPQC is made up of a series active filter to reduce voltage disturbances like sags and swells, and a shunt active filter to deal with the existing concerns like harmonics and imbalance. The suggested WOA-based control dynamically adapts UPQC parameters in real time, making it more adaptable to changing wind and load circumstances. A comparison with existing techniques indicates the superiority of the suggested method, which achieves a total harmonic distortion (THD) of 1%, voltage sag of 0.75%, and voltage swell of 0.66%. These results show much superior performance than traditional approaches like ANFIS-fuzzy logic, PID, and ANN-based controllers. The proposed approach not only provides consistent and clean power injection into the grid, but it also improves system dependability and efficiency.