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Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems
Joint Authors
Yu, Kuo-Nan
Li, Jian-Yu
Yau, Her-Terng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
At present, the solar photovoltaic system is extensively used.
However, once a fault occurs, it is inspected manually, which is not economical.
In order to remedy the defect of unavailable fault diagnosis at any irradiance and temperature in the literature with chaos synchronization based intelligent fault diagnosis for photovoltaic systems proposed by Hsieh et al., this study proposed a chaotic extension fault diagnosis method combined with error back propagation neural network to overcome this problem.
It used the nn toolbox of matlab 2010 for simulation and comparison, measured current irradiance and temperature, and used the maximum power point tracking (MPPT) for chaotic extraction of eigenvalue.
The range of extension field was determined by neural network.
Finally, the voltage eigenvalue obtained from current temperature and irradiance was used for the fault diagnosis.
Comparing the diagnostic rates with the results by Hsieh et al., this scheme can obtain better diagnostic rates when the irradiances or the temperatures are changed.
American Psychological Association (APA)
Yu, Kuo-Nan& Yau, Her-Terng& Li, Jian-Yu. 2014. Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-459913
Modern Language Association (MLA)
Yu, Kuo-Nan…[et al.]. Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-459913
American Medical Association (AMA)
Yu, Kuo-Nan& Yau, Her-Terng& Li, Jian-Yu. Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-459913
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459913