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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...

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Main Authors: Ahmadipour, Masoud, Giyoev, Borbad M., Hizam, Hashim
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
Online Access: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
http://psasir.upm.edu.my/id/eprint/36330/
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Conference or Workshop Item
author Ahmadipour, Masoud
Giyoev, Borbad M.
Hizam, Hashim
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
author_facet Ahmadipour, Masoud
Giyoev, Borbad M.
Hizam, Hashim
author_sort Ahmadipour, Masoud
title 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_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_sort new islanding detection scheme based on combination of slantlet transform and probabilistic neural network for grid-tied photovoltaic system
publisher IEEE
publishDate 2019
url 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
http://psasir.upm.edu.my/id/eprint/36330/
_version_ 1671341075819659264
score 13.160551

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