Pseudo affine projection assisted multitasking approach for power quality improvement in grid‐interactive photovoltaic (PV) system

Abstract

The electronically interfaced photovoltaic (PV) system and its control approach form an intrinsic part of the distributed generation (DG) system. This study proposes pseudo affine projection (PAP)-assisted multitasking control scheme for grid-integrated DG inverter under input grid voltage disturbances. The PAP approach is based on the convergence of active weighted values and is independent of the input signal property, which manifests a discrete characteristic. Additionally, it exhibits a unique capability of updating weight based on multiple, delayed input signal vectors. The fundamental distinguishing feature of the proposed PAP is its intrinsic learning behaviour and therefore it provides an optimal solution to the ingrained paradox between steady-state misadjustment and convergence speed compared to its conventional counterpart affine projection. The PAP-assisted algorithm practically enables DG inverter to perform multiple tasks including suppression of source current harmonics, unbalancing, and neutral current. It also provides load reactive current support with unity power factor operation while transferring the maximum active power into the utility grid. The practicality of the proposed PAP algorithm is investigated through MATLAB/Simulink software. Finally, the experimental results recorded with the dSPACE-1104 based real-time control platform show good to excellent agreement with simulations in the steady-state, as well as transient phenomena.