Photovoltaic parameters identification using optimization algorithm
Other Title(s)
كشف برامترات الخلية الضوئية باستخدام خوارزمية الأمثل
Author
Source
Issue
Vol. 12, Issue 2 (30 Jun. 2017), pp.47-62, 16 p.
Publisher
University of Thi-Qar Research and Development Department
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
Solar energy is regarded as an essential source of electricity generation.
It is one of the renewable energy sources that have the potential for future energy applications.
The optimization algorithms, such as the Electromagnetism-like (EM) algorithm is suitable for tackling numerous optimization problems.
The EM algorithm has the ability to handle nonlinear functions, and it is imagined to be extremely productive for the parameters estimation of a photovoltaic (PV) module.
Different values of control parameters of the method have been tested in this paper.
This is done to demonstrate the impact of every parameter on the performance of the algorithm regarding the speed of convergence and precision.
In every case of parameters, the algorithm can extract the photovoltaic model parameters.
The objective function for every arrangement of values has been resolved and then contrasted with others in order to select the best case.
American Psychological Association (APA)
Abd, Isa Ahmad. 2017. Photovoltaic parameters identification using optimization algorithm. University of Thi-Qar Journal،Vol. 12, no. 2, pp.47-62.
https://search.emarefa.net/detail/BIM-792439
Modern Language Association (MLA)
Abd, Isa Ahmad. Photovoltaic parameters identification using optimization algorithm. University of Thi-Qar Journal Vol. 12, no. 2 (Jun. 2017), pp.47-62.
https://search.emarefa.net/detail/BIM-792439
American Medical Association (AMA)
Abd, Isa Ahmad. Photovoltaic parameters identification using optimization algorithm. University of Thi-Qar Journal. 2017. Vol. 12, no. 2, pp.47-62.
https://search.emarefa.net/detail/BIM-792439
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 60-62
Record ID
BIM-792439