Skip to main content

Research Repository

Advanced Search

The application of soft computing methods for MPPT of PV system: A technological and status review

Salam, Zainal; Ahmed, Jubaer; Merugu, Benny S


Zainal Salam

Benny S Merugu


With the availability of powerful and low cost computing power, maximum power point tracking (MPPT) that utilizes soft computing (SC) techniques are attracting substantial interests from the PV communities. Due to their flexibility and ability to handle non-linear problems, robust SC-based MPPT schemes can be developed. Furthermore, the adaptive in nature SC algorithms is suitable in handling adverse environmental conditions such as partial shading and rapid changes in irradiance. To date, there are several works on MPPT using SC from which we select approximately 45 published works that are directly related to MPPT. However, information on these methods are scattered and there appears to be an absence for a comprehensive review paper on this topic. This work summarizes the current technology and status of SC MPPT as reported in various literature. It also provides an evaluation on the performance of various SC methods based on several criteria, namely PV array dependency, convergence time, ability to handle partial shading conditions, algorithm complexity and hardware/practical implementation. It is envisaged that the information gathered in this paper will be a valuable one-stop source of information for researchers, as well as providing a direction for future research in this area.

Journal Article Type Article
Acceptance Date Feb 2, 2013
Online Publication Date Mar 8, 2013
Publication Date 2013-07
Deposit Date Dec 28, 2021
Journal Applied energy
Print ISSN 0306-2619
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 107
Pages 135-148
Keywords Photovoltaic, MPPT, Review, Energy, Converter, Soft computing
Public URL