Modified Current Control for Tracking Global Peak Under Fast Changing Partial Shading Conditions
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
The power - voltage (P-V) characteristics of photovoltaic (PV) systems exhibit multiple power peaks under partially shaded conditions. Several global maximum power point tracking (GMPPT) algorithms in the literature recognize the irradiance change, only after the convergence of operating point to global peak, or use additional hardware to call GMPPT subroutine at definite time intervals to detect any insolation change, and thus track the global peak. However, during fast changing partial shading conditions, these methods are less effective, as they do not detect any irradiance change during the tracking phase of any shading pattern. This paper proposes a novel modified current control approach that uses current as a parameter to detect the insolation change during the tracking phase and track the global peak under fast changing partial shading conditions without any additional hardware. The proposed technique improves the tracking efficiency by as much as 39%, thus proving to be effective under fast-changing partial shading conditions. The superior tracking performance of the proposed algorithm over the existing techniques in terms of its tracking efficiency, dynamic tracking capability, tracking speed, and convergence to the global peak is demonstrated with extensive simulations using MATLAB/Simulink and experimental results. © 1986-2012 IEEE.
Description
Keywords
DC-DC converters, Efficiency, Electric current control, Heuristic methods, Incident solar radiation, MATLAB, Maximum power point trackers, Perturbation techniques, Photovoltaic cells, Condition, Convergence, Global maximum power point tracking, Hardware, Heuristics algorithm, Maximum Power Point Tracking, Partial shading, Perturbation method, Photovoltaic system and partial shading condition, Photovoltaic systems, Heuristic algorithms
Citation
IEEE Transactions on Energy Conversion, 2022, 37, 2, pp. 1211-1222
