A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions

Abstract

This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.