A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system
According to find islanding in a grid tied photovoltaic system, a combination of Slantlet Transform (SLT) and Probabilistic Neural Network (PNN) has been proposed in this paper. The SLT is used to extract the unique features from three phase voltage signals at the Point of Common Coupling (PCC). The...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36330/ http://psasir.upm.edu.my/id/eprint/36330/1/A%20new%20islanding%20detection%20scheme%20based%20on%20combination%20of%20slantlet%20transform%20and%20probabilistic%20neural%20network%20for%20grid-tied%20photovoltaic%20system.pdf |
| _version_ | 1848848301874479104 |
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| author | Ahmadipour, Masoud Giyoev, Borbad M. Hizam, Hashim |
| author_facet | Ahmadipour, Masoud Giyoev, Borbad M. Hizam, Hashim |
| author_sort | Ahmadipour, Masoud |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | According to find islanding in a grid tied photovoltaic system, a combination of Slantlet Transform (SLT) and Probabilistic Neural Network (PNN) has been proposed in this paper. The SLT is used to extract the unique features from three phase voltage signals at the Point of Common Coupling (PCC). The produced features vector is fed to a probabilistic neural network classifier as input pattern which is used to predict islanding condition. The proposed technique is validated through comparing with islanding response time in different situations with the offered response time through Rate of Change of Frequency (ROCOF) method. |
| first_indexed | 2025-11-15T09:32:20Z |
| format | Conference or Workshop Item |
| id | upm-36330 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:32:20Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-363302020-06-15T07:48:45Z http://psasir.upm.edu.my/id/eprint/36330/ A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system Ahmadipour, Masoud Giyoev, Borbad M. Hizam, Hashim According to find islanding in a grid tied photovoltaic system, a combination of Slantlet Transform (SLT) and Probabilistic Neural Network (PNN) has been proposed in this paper. The SLT is used to extract the unique features from three phase voltage signals at the Point of Common Coupling (PCC). The produced features vector is fed to a probabilistic neural network classifier as input pattern which is used to predict islanding condition. The proposed technique is validated through comparing with islanding response time in different situations with the offered response time through Rate of Change of Frequency (ROCOF) method. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/36330/1/A%20new%20islanding%20detection%20scheme%20based%20on%20combination%20of%20slantlet%20transform%20and%20probabilistic%20neural%20network%20for%20grid-tied%20photovoltaic%20system.pdf Ahmadipour, Masoud and Giyoev, Borbad M. and Hizam, Hashim (2019) A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system. In: 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE 2019), 14-15 Mar. 2019, Moscow, Russia. . 10.1109/REEPE.2019.8708802 |
| spellingShingle | Ahmadipour, Masoud Giyoev, Borbad M. Hizam, Hashim A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title | A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title_full | A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title_fullStr | A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title_full_unstemmed | A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title_short | A new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| title_sort | new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system |
| url | http://psasir.upm.edu.my/id/eprint/36330/ http://psasir.upm.edu.my/id/eprint/36330/ http://psasir.upm.edu.my/id/eprint/36330/1/A%20new%20islanding%20detection%20scheme%20based%20on%20combination%20of%20slantlet%20transform%20and%20probabilistic%20neural%20network%20for%20grid-tied%20photovoltaic%20system.pdf |