Open AccessMPPT methods for solar PV systems: a critical review based on tracking nature
Author(s) -
Podder Amit Kumer,
Roy Naruttam Kumar,
Pota Hemanshu Roy
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2018.5946
Subject(s) - maximum power point tracking , photovoltaic system , computer science , novelty , selection (genetic algorithm) , field (mathematics) , key (lock) , tracking (education) , power (physics) , control engineering , artificial intelligence , engineering , electrical engineering , mathematics , pedagogy , psychology , philosophy , physics , theology , computer security , quantum mechanics , pure mathematics , inverter
An efficient maximum power point tracking (MPPT) method plays an important role to improve the efficiency of a photovoltaic (PV) generation system. This study provides an extensive review of the current status of MPPT methods for PV systems which are classified into eight categories. The categorisation is based on the tracking characteristics of the discussed methods. The novelty of this study is that it focuses on the key characteristics and eleven selection parameters of the methods to make a comprehensive analysis, which is not considered together in any review works so far. Again, the pros and cons, classification and immense comparison among them described in this study can be used as a reference to address the gaps for further research in this field. A comparative review in tabular form is also presented at the end of the discussion of each category to evaluate the performance of these methods, which will help in selecting the appropriate technique for any specific application.