Fault detection in a grid-connected photovoltaic system using adaptive thresholding method
In this paper, an adaptive monitoring scheme with Fuzzy Logic Filter (FLF) is developed and applied to monitor a Grid-Connected Photovoltaic System (GCPVS). This method is based on Principal Component Analysis (PCA) and Moving Window Principal Component Analysis (MWPCA). It is designed to generate a...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2018
|
| Subjects: |
| _version_ | 1825721880533794816 |
|---|---|
| author | Ammiche, Mustapha Kouadri, Abdelmalek Halabi, Laith M. Guichi, Amar Mekhilef, Saad |
| author_facet | Ammiche, Mustapha Kouadri, Abdelmalek Halabi, Laith M. Guichi, Amar Mekhilef, Saad |
| author_sort | Ammiche, Mustapha |
| collection | UM |
| description | In this paper, an adaptive monitoring scheme with Fuzzy Logic Filter (FLF) is developed and applied to monitor a Grid-Connected Photovoltaic System (GCPVS). This method is based on Principal Component Analysis (PCA) and Moving Window Principal Component Analysis (MWPCA). It is designed to generate adaptive thresholds for its monitoring indices. The FLF filters the monitoring indices to reduce the number of False Alarms (FA) and increase the Fault Detection Rate (FDR). The application is carried out on the GCPVS of the Power Electronics and Renewable Energy Research Laboratory (PEARL) of Malaya University. The proposed technique is compared against PCA method in terms of FAR reduction. The detection ability of the adaptive thresholding with FLF monitoring scheme is tested first on simulated faults then it is applied to detect a real abnormal behaviour. The results show that the proposed method is effective in reducing the number of false alarms and in detecting different types of faults with high accuracy. |
| first_indexed | 2024-03-06T05:57:06Z |
| format | Article |
| id | um.eprints-22483 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:57:06Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-224832019-09-20T07:00:10Z http://eprints.um.edu.my/22483/ Fault detection in a grid-connected photovoltaic system using adaptive thresholding method Ammiche, Mustapha Kouadri, Abdelmalek Halabi, Laith M. Guichi, Amar Mekhilef, Saad TK Electrical engineering. Electronics Nuclear engineering In this paper, an adaptive monitoring scheme with Fuzzy Logic Filter (FLF) is developed and applied to monitor a Grid-Connected Photovoltaic System (GCPVS). This method is based on Principal Component Analysis (PCA) and Moving Window Principal Component Analysis (MWPCA). It is designed to generate adaptive thresholds for its monitoring indices. The FLF filters the monitoring indices to reduce the number of False Alarms (FA) and increase the Fault Detection Rate (FDR). The application is carried out on the GCPVS of the Power Electronics and Renewable Energy Research Laboratory (PEARL) of Malaya University. The proposed technique is compared against PCA method in terms of FAR reduction. The detection ability of the adaptive thresholding with FLF monitoring scheme is tested first on simulated faults then it is applied to detect a real abnormal behaviour. The results show that the proposed method is effective in reducing the number of false alarms and in detecting different types of faults with high accuracy. Elsevier 2018 Article PeerReviewed Ammiche, Mustapha and Kouadri, Abdelmalek and Halabi, Laith M. and Guichi, Amar and Mekhilef, Saad (2018) Fault detection in a grid-connected photovoltaic system using adaptive thresholding method. Solar Energy, 174. pp. 762-769. ISSN 0038-092X, DOI https://doi.org/10.1016/j.solener.2018.09.024 <https://doi.org/10.1016/j.solener.2018.09.024>. https://doi.org/10.1016/j.solener.2018.09.024 doi:10.1016/j.solener.2018.09.024 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ammiche, Mustapha Kouadri, Abdelmalek Halabi, Laith M. Guichi, Amar Mekhilef, Saad Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title | Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title_full | Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title_fullStr | Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title_full_unstemmed | Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title_short | Fault detection in a grid-connected photovoltaic system using adaptive thresholding method |
| title_sort | fault detection in a grid connected photovoltaic system using adaptive thresholding method |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT ammichemustapha faultdetectioninagridconnectedphotovoltaicsystemusingadaptivethresholdingmethod AT kouadriabdelmalek faultdetectioninagridconnectedphotovoltaicsystemusingadaptivethresholdingmethod AT halabilaithm faultdetectioninagridconnectedphotovoltaicsystemusingadaptivethresholdingmethod AT guichiamar faultdetectioninagridconnectedphotovoltaicsystemusingadaptivethresholdingmethod AT mekhilefsaad faultdetectioninagridconnectedphotovoltaicsystemusingadaptivethresholdingmethod |