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Grey wolf optimization based improved protection of wind power generation systems

Proper design of wind farm power system protection is an immensely challenging task for electrical power protection engineers which must be accomplished thoroughly to provide an adequate protection for power apparatus in case of fault incidence. Overcurrent relays (OCRs) are the most crucial protect...

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Main Authors: Rezaei, Nima, Uddin, Mohammad Nasir, Amin, Ifte Khairul, Othman, Mohammad Lutfi, Zainal Abidin, Izham
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/36706/1/Grey%20wolf%20optimization%20based%20improved%20protection%20of%20wind%20power%20generation%20systems.pdf
http://psasir.upm.edu.my/id/eprint/36706/
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spelling my.upm.eprints.367062020-06-16T02:17:30Z http://psasir.upm.edu.my/id/eprint/36706/ Grey wolf optimization based improved protection of wind power generation systems Rezaei, Nima Uddin, Mohammad Nasir Amin, Ifte Khairul Othman, Mohammad Lutfi Zainal Abidin, Izham Proper design of wind farm power system protection is an immensely challenging task for electrical power protection engineers which must be accomplished thoroughly to provide an adequate protection for power apparatus in case of fault incidence. Overcurrent relays (OCRs) are the most crucial protection tools for wind farms which are responsible for protecting power systems from faults. These relays need to be properly coordinated with each other and their settings function should be according to IEEE or IEC standards. During a fault occurrence in the wind farm especially, in the intertie section, several OCRs operate instead of a designated relay to that particular fault location, which would cause unnecessary power loss and disconnection of healthy feeders out of the wind farm that makes the situation tremendously ominous. Thus, this research proposes a novel grey wolf optimizer (GWO) based optimization technique for proper coordination of OCRs to gain improved protection of wind farms. GWO have ample advantages compared to other intelligent algorithms including, fast response, high accuracy and most notably attaining optimal solutions for nonlinear characteristics of OCRs. In this work the improvement in protection of wind farm is realized through optimizing the relay settings, reducing their operation time and time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The results show that the new approach is able to achieve significant improvement in operation of OCRs at the wind farm and diminish the total operation time of the relays significantly. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/36706/1/Grey%20wolf%20optimization%20based%20improved%20protection%20of%20wind%20power%20generation%20systems.pdf Rezaei, Nima and Uddin, Mohammad Nasir and Amin, Ifte Khairul and Othman, Mohammad Lutfi and Zainal Abidin, Izham (2018) Grey wolf optimization based improved protection of wind power generation systems. In: 2018 IEEE Industry Applications Society Annual Meeting (IAS), 23-27 Sept. 2018, Portland, Oregon, USA. (pp. 1-8). 10.1109/IAS.2018.8544502
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 Proper design of wind farm power system protection is an immensely challenging task for electrical power protection engineers which must be accomplished thoroughly to provide an adequate protection for power apparatus in case of fault incidence. Overcurrent relays (OCRs) are the most crucial protection tools for wind farms which are responsible for protecting power systems from faults. These relays need to be properly coordinated with each other and their settings function should be according to IEEE or IEC standards. During a fault occurrence in the wind farm especially, in the intertie section, several OCRs operate instead of a designated relay to that particular fault location, which would cause unnecessary power loss and disconnection of healthy feeders out of the wind farm that makes the situation tremendously ominous. Thus, this research proposes a novel grey wolf optimizer (GWO) based optimization technique for proper coordination of OCRs to gain improved protection of wind farms. GWO have ample advantages compared to other intelligent algorithms including, fast response, high accuracy and most notably attaining optimal solutions for nonlinear characteristics of OCRs. In this work the improvement in protection of wind farm is realized through optimizing the relay settings, reducing their operation time and time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The results show that the new approach is able to achieve significant improvement in operation of OCRs at the wind farm and diminish the total operation time of the relays significantly.
format Conference or Workshop Item
author Rezaei, Nima
Uddin, Mohammad Nasir
Amin, Ifte Khairul
Othman, Mohammad Lutfi
Zainal Abidin, Izham
spellingShingle Rezaei, Nima
Uddin, Mohammad Nasir
Amin, Ifte Khairul
Othman, Mohammad Lutfi
Zainal Abidin, Izham
Grey wolf optimization based improved protection of wind power generation systems
author_facet Rezaei, Nima
Uddin, Mohammad Nasir
Amin, Ifte Khairul
Othman, Mohammad Lutfi
Zainal Abidin, Izham
author_sort Rezaei, Nima
title Grey wolf optimization based improved protection of wind power generation systems
title_short Grey wolf optimization based improved protection of wind power generation systems
title_full Grey wolf optimization based improved protection of wind power generation systems
title_fullStr Grey wolf optimization based improved protection of wind power generation systems
title_full_unstemmed Grey wolf optimization based improved protection of wind power generation systems
title_sort grey wolf optimization based improved protection of wind power generation systems
publisher IEEE
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/36706/1/Grey%20wolf%20optimization%20based%20improved%20protection%20of%20wind%20power%20generation%20systems.pdf
http://psasir.upm.edu.my/id/eprint/36706/
_version_ 1671341079639621632
score 13.211869

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