Kalman Filter-Based Super-Twisting Sliding Mode Control of Shunt Active Power Filter for Electric Vehicle Charging Station Applications

Electric vehicle (EV) charging stations draw nonlinear currents, which makes the distribution network unbalanced, distorted, and results in power quality (PQ) issues. These PQ issues are mitigated this work through high-performance control of shunt active filter (SAPF). In proposed method, a linear Kalman (LKF) has been applied to grid voltage load current signals for harmonic disturbance robust estimation purpose. Unlike conventionally used orthogonal vector model, work, phase angle model together with simple tune phase-locked loop (PLL) considered LKF implementation. DC-link regulation capacitor obtained by proposing Luenberger observer-based super twisting sliding mode (ST-SMC), fast dynamic response lower ripples compared similar other existing methods. This significant reduction size, cost loss lifetime enhancement capacitor. Rigorous sensitivity analysis is conducted analyze robustness developed method. The technique achieves time satisfy requirements as specified IEEE Std. 519 under various disturbances. Comparative quasi-real validation presented using digital signal processor (DSP) based processor-in-the-loop (PIL) another recently strategy verify performance