Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems
Joint Authors
Shiu, Jen
Yau, Her-Terng
Hsieh, Chin-Tsung
Source
International Journal of Photoenergy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The traditional solar photovoltaic fault diagnosis system needs two to three sets of sensing elements to capture fault signals as fault features and many fault diagnosis methods cannot be applied with real time.
The fault diagnosis method proposed in this study needs only one set of sensing elements to intercept the fault features of the system, which can be real-time-diagnosed by creating the fault data of only one set of sensors.
The aforesaid two points reduce the cost and fault diagnosis time.
It can improve the construction of the huge database.
This study used Matlab to simulate the faults in the solar photovoltaic system.
The maximum power point tracker (MPPT) is used to keep a stable power supply to the system when the system has faults.
The characteristic signal of system fault voltage is captured and recorded, and the dynamic error of the fault voltage signal is extracted by chaos synchronization.
Then, the extension engineering is used to implement the fault diagnosis.
Finally, the overall fault diagnosis system only needs to capture the voltage signal of the solar photovoltaic system, and the fault type can be diagnosed instantly.
American Psychological Association (APA)
Hsieh, Chin-Tsung& Yau, Her-Terng& Shiu, Jen. 2014. Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037310
Modern Language Association (MLA)
Hsieh, Chin-Tsung…[et al.]. Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems. International Journal of Photoenergy No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1037310
American Medical Association (AMA)
Hsieh, Chin-Tsung& Yau, Her-Terng& Shiu, Jen. Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037310