PV Maximum Power-Point Tracking by Using Artificial Neural Network
Joint Authors
Poor, M. A.
Badamchizadeh, Mohammad Ali
Sedaghati, Farzad
Nahavandi, Ali
Ghaemi, Sehraneh
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, using artificial neural network (ANN) for tracking of maximum power point is discussed.
Error back propagation method is used in order to train neural network.
Neural network has advantages of fast and precisely tracking of maximum power point.
In this method neural network is used to specify the reference voltage of maximum power point under different atmospheric conditions.
By properly controling of dc-dc boost converter, tracking of maximum power point is feasible.
To verify theory analysis, simulation result is obtained by using MATLAB/SIMULINK.
American Psychological Association (APA)
Sedaghati, Farzad& Nahavandi, Ali& Badamchizadeh, Mohammad Ali& Ghaemi, Sehraneh& Poor, M. A.. 2012. PV Maximum Power-Point Tracking by Using Artificial Neural Network. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1001655
Modern Language Association (MLA)
Sedaghati, Farzad…[et al.]. PV Maximum Power-Point Tracking by Using Artificial Neural Network. Mathematical Problems in Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-1001655
American Medical Association (AMA)
Sedaghati, Farzad& Nahavandi, Ali& Badamchizadeh, Mohammad Ali& Ghaemi, Sehraneh& Poor, M. A.. PV Maximum Power-Point Tracking by Using Artificial Neural Network. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-1001655
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001655
