#12 – Modeling and Evaluation of MPPT Algorithms for Photovoltaic System under Partial Shading Conditions

N.R. Govinthasamy and  R. Velavan. Modeling and Evaluation of MPPT Algorithms for Photovoltaic System under Partial Shading Conditions. Dynamic Systems and Applications 29 (2020) No. 6, 2347 – 2361

https://doi.org/10.46719/dsa202029612

ABSTRACT.
Maximum power point (MPPT) tracking is greatly necessitated by Photovoltaic (PV) structures for attaining PV arrays maximum power output in various environmental situation. Mostly, PV arrays cannot exhibit its proficiency due to shadowing effect because of several factors such as passing clouds, neighboring buildings, towers, trees, and telephone poles either entirely or moderately. Tracking global peak (GP) is regarded as challenge due to its shadowing effect which increases PV characteristics complexity with multiple peaks.  This research focuses on presenting a novel MPPT method for tracking efficiency enhancement through global peak under partial shading conditions (PSCs).  PV array under PSCs is greatly utilized for this research which possesses multiple peaks.  The recommended approach tracking performance is contrasted with perturb and observe (P&O) MPPT algorithms.  The operating conditions may not be the restriction for the control method and tends to afford greater performance over conventional approaches contributing to proficient solar power harvesting. The research work is substantiated pertaining to theoretical analysis through simulation and experimental evaluation.

Keywords: Photovoltaic (PV), Maximum Power Point (MPPT), Partial Shading Conditions (PSCs), Incremental Conductance (IC).