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Assessment of Meta-Heuristic and Classical Methods for GMPPT of PV System
M. Naseem,Mohammed Aslam Husain,Ahmad Faiz Minai,Ahmad Neyaz Khan,Mohd Amir,J. Dinesh Kumar,Arif Iqbal 한국전기전자재료학회 2021 Transactions on Electrical and Electronic Material Vol.22 No.3
Numerous global peak searching mechanisms have been proposed to solve the problem of energy loss due to partial shading of solar photovoltaic (PV) plants but still there is a great need for an effi cient and fast global maximum power point tracker (GMPPT). A detailed review of GMPPT based on various meta-heuristic and classical methods along with the basics of partial shading phenomenon, proper positioning of the PV panels, distributed MPPT, Field MPPT etc. will be of great help to the researchers. Till date, it looks like that not a single literature has covered these issues at a single place and thus, this article fi lls this gap by providing a detailed assessment, tabulated gist of the various GMPPT along with the basics of key issues related to partial shading of PV plants. Various classical and bio-inspired meta-heuristic based GMPPT methods have been compared in this literature. It is expected that this paper will prove to be a valuable asset and a complete reference for the academicians and professionals for further research and proper selection of a GMPPT technique.
Ilyas, Afshan,Ayyub, Mohammad,Khan, M. Rizwan,Husain, Mohammed Aslam,Jain, Abhinandan The Korean Institute of Electrical and Electronic 2018 Transactions on Electrical and Electronic Material Vol.19 No.3
Solar photovoltaic systems have evolved as a prominent renewable source of energy owing to its eco-friendly nature, long lifetime, and low maintenance requirement. However, its conversion efficiency is very low. Different maximum power point tracking (MPPT) techniques have been used to extract maximum power from the photovoltaic system. In this study, the perturb and observe (P&O) MPPT algorithm, which is practically implemented on an Arduino Uno board and simulated in Matlab/Simulink under the same environmental conditions, is used to track the maximum power. Different parameters of a Simulink-based PV module and a practical photovoltaic module are obtained and compared. The main advantages of the P&O MPPT algorithm are its low cost and easy implementation. However, it may fail to track the maximum operating point under varying environmental conditions.
Afshan Ilyas,Mohammad Ayyub,M. Rizwan Khan,Mohammed Aslam Husain,Abhinandan Jain 한국전기전자재료학회 2018 Transactions on Electrical and Electronic Material Vol.19 No.3
Solar photovoltaic systems have evolved as a prominent renewable source of energy owing to its eco-friendly nature, longlifetime, and low maintenance requirement. However, its conversion effi ciency is very low. Diff erent maximum power pointtracking (MPPT) techniques have been used to extract maximum power from the photovoltaic system. In this study, theperturb and observe (P&O) MPPT algorithm, which is practically implemented on an Arduino Uno board and simulated inMatlab/Simulink under the same environmental conditions, is used to track the maximum power. Diff erent parameters ofa Simulink-based PV module and a practical photovoltaic module are obtained and compared. The main advantages of theP&O MPPT algorithm are its low cost and easy implementation. However, it may fail to track the maximum operating pointunder varying environmental conditions.