Current Directional Protection of Series Compensated Line Using Intelligent Classifier
Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on...
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Iran University of Science and Technology
2016-12-01
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doaj-75d4ad5f5212428e99f6d726236b71a72020-11-24T22:17:05ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902016-12-01124292300Current Directional Protection of Series Compensated Line Using Intelligent ClassifierM. Mollanezhad Heydarabadi0A. Akbari Foroud1 Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses only half cycle of pre-fault and post fault current samples at relay location to feed the classifier. A lot of forward and backward fault simulations under different system conditions upon a transmission line with a fixed series capacitor are carried out using PSCAD/EMTDC software. The applicability of decision tree (DT), probabilistic neural network (PNN) and support vector machine (SVM) are investigated using simulated data under different system conditions. The performance comparison of the classifiers indicates that the SVM is a best suitable classifier for fault direction discriminating. The backward faults can be accurately distinguished from forward faults even under current inversion without require to detect of the current inversion condition.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-515-13&slc_lang=en&sid=1Series compensated transmission line Current inversion condition Directional protection Intelligent classifier. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Mollanezhad Heydarabadi A. Akbari Foroud |
spellingShingle |
M. Mollanezhad Heydarabadi A. Akbari Foroud Current Directional Protection of Series Compensated Line Using Intelligent Classifier Iranian Journal of Electrical and Electronic Engineering Series compensated transmission line Current inversion condition Directional protection Intelligent classifier. |
author_facet |
M. Mollanezhad Heydarabadi A. Akbari Foroud |
author_sort |
M. Mollanezhad Heydarabadi |
title |
Current Directional Protection of Series Compensated Line Using Intelligent Classifier |
title_short |
Current Directional Protection of Series Compensated Line Using Intelligent Classifier |
title_full |
Current Directional Protection of Series Compensated Line Using Intelligent Classifier |
title_fullStr |
Current Directional Protection of Series Compensated Line Using Intelligent Classifier |
title_full_unstemmed |
Current Directional Protection of Series Compensated Line Using Intelligent Classifier |
title_sort |
current directional protection of series compensated line using intelligent classifier |
publisher |
Iran University of Science and Technology |
series |
Iranian Journal of Electrical and Electronic Engineering |
issn |
1735-2827 2383-3890 |
publishDate |
2016-12-01 |
description |
Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses only half cycle of pre-fault and post fault current samples at relay location to feed the classifier. A lot of forward and backward fault simulations under different system conditions upon a transmission line with a fixed series capacitor are carried out using PSCAD/EMTDC software. The applicability of decision tree (DT), probabilistic neural network (PNN) and support vector machine (SVM) are investigated using simulated data under different system conditions. The performance comparison of the classifiers indicates that the SVM is a best suitable classifier for fault direction discriminating. The backward faults can be accurately distinguished from forward faults even under current inversion without require to detect of the current inversion condition. |
topic |
Series compensated transmission line Current inversion condition Directional protection Intelligent classifier. |
url |
http://ijeee.iust.ac.ir/browse.php?a_code=A-10-515-13&slc_lang=en&sid=1 |
work_keys_str_mv |
AT mmollanezhadheydarabadi currentdirectionalprotectionofseriescompensatedlineusingintelligentclassifier AT aakbariforoud currentdirectionalprotectionofseriescompensatedlineusingintelligentclassifier |
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