Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/759819 |
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| author | Chin-Tsung Hsieh Her-Terng Yau Jen Shiu |
| author_facet | Chin-Tsung Hsieh Her-Terng Yau Jen Shiu |
| author_sort | Chin-Tsung Hsieh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6b91bc06f7354b4ba79868fe0fe71788 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-6b91bc06f7354b4ba79868fe0fe717882025-02-03T05:53:58ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/759819759819Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic SystemsChin-Tsung Hsieh0Her-Terng Yau1Jen Shiu2Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanThe 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.http://dx.doi.org/10.1155/2014/759819 |
| spellingShingle | Chin-Tsung Hsieh Her-Terng Yau Jen Shiu Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems International Journal of Photoenergy |
| title | Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems |
| title_full | Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems |
| title_fullStr | Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems |
| title_full_unstemmed | Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems |
| title_short | Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems |
| title_sort | chaos synchronization based novel real time intelligent fault diagnosis for photovoltaic systems |
| url | http://dx.doi.org/10.1155/2014/759819 |
| work_keys_str_mv | AT chintsunghsieh chaossynchronizationbasednovelrealtimeintelligentfaultdiagnosisforphotovoltaicsystems AT herterngyau chaossynchronizationbasednovelrealtimeintelligentfaultdiagnosisforphotovoltaicsystems AT jenshiu chaossynchronizationbasednovelrealtimeintelligentfaultdiagnosisforphotovoltaicsystems |