
Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation
Author(s) -
Kermadi Mostefa,
Salam Zainal,
Eltamaly Ali M.,
Ahmed Jubaer,
Mekhilef Saad,
Larbes Cherif,
Berkouk El Madjid
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0454
Subject(s) - maximum power point tracking , photovoltaic system , computer science , convergence (economics) , hill climbing , shading , maximum power principle , transient (computer programming) , point (geometry) , soft computing , control theory (sociology) , voltage , engineering , algorithm , artificial intelligence , mathematics , electrical engineering , artificial neural network , computer graphics (images) , inverter , geometry , control (management) , economic growth , economics , operating system
This review covers global maximum power point tracking (GMPPT) methods for photovoltaic (PV) systems under partial shading conditions. Unlike the previous review works that primarily focused on soft computing and hybrid GMPPT, this study gives exclusive attention to the improvement achieved by the conventional MPPT (perturb and observe, hill climbing, and incremental conductance). The improved methods include the popular 0.8 × V oc model and, more recently, the skipping algorithms. In addition to providing qualitative descriptions of the available techniques, this work also attempts to provide a fair evaluation of GMPPT to determine their comparative performances. The competing algorithms, which are selected to represent every category (conventional and soft computing and hybrid MPPT), are benchmarked under carefully selected operating conditions and shading scenarios. The evaluation is focused on four main criteria: tracking accuracy, convergence time, length of voltage fluctuations, and transient efficiency during the search for the global maximum power point. The results obtained from this study can become a basis for researchers and designers to select the best MPPT technique for their respective applications.