Three-Phase Grid Connected Shunt Active Power Filter Based on Adaptive Q-LMF Control Technique
Kanchan Bala, Narendra Kumar, Alka Singh
Abstract
This article discusses the effectiveness of q-LMF (Quantum Calculus-based Least Mean Fourth) based control for a 3∅ grid-connected PV shunt active power filter (SAPF). A PV array is utilized in the proposed system. Using the q-LMF-based controlling approach, the fundamental active load component is derived through the load current. The conventional LMF-based control scheme has been modified with the addition of the parameter ‘q’. The variation of ‘q’ influences the working performance of the designed controller. A modified complex coefficient filter (mCCF) is used to extract the filtered PCC voltage under a weak and distorted grid. In the current control mode, the SAPF feeds the appropriate compensatory current at the point of common coupling (PCC) to minimize current harmonics from the supply structure. The paper also demonstrates real-time training of the algorithm for different q-LMF factors. The proposed system is initially modeled in MATLAB/Simulink, and the simulation results are validated using experimental findings. A hardware SAPF prototype is developed utilizing current/voltage sensors and MicroLabBox. Further, a comparison of the Least Mean Square (LMS), Least Mean Fourth (LMF), and the proposed q-LMFbased load compensation control method has been tested under steady-state conditions, load unbalancing and weak grid. The three control schemes are analyzed in terms of convergence time, oscillations, source current THD, and computational load. The proposed control scheme is found superior to others.