An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design
The first part of this two part paper has proposed a novel strategy for frequency response modelling of modern power system, as it recommended a new application of artificial neural network in assessment of power system dynamic performance. The intelligent methods have shown a high ability in estima...
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my.utm.465982017-09-17T01:22:58Z http://eprints.utm.my/id/eprint/46598/ An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design Shariati, Omid Mohd. Zin, Abdullah Asuhaimi Khairuddin, Azhar Pesaran, Mahmoud Aghamohammadi, Mohammadreza QC Physics The first part of this two part paper has proposed a novel strategy for frequency response modelling of modern power system, as it recommended a new application of artificial neural network in assessment of power system dynamic performance. The intelligent methods have shown a high ability in estimation and optimisation problems, as the recent advances in computer systems and intelligent methods have created new opportunities. The current paper proposes an integrated under frequency load shedding system based on genetic algorithm which is able to consider all effective factors at the same time. It also presents a new hybrid artificial neural network-genetic algorithm basis system for under frequency load shedding which is a quick, simple and applied method of UFLS. This assessment includes a review of significant researches on under frequency load shedding design and application. 2012 Article PeerReviewed Shariati, Omid and Mohd. Zin, Abdullah Asuhaimi and Khairuddin, Azhar and Pesaran, Mahmoud and Aghamohammadi, Mohammadreza (2012) An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design. Asia-Pacific Power and Energy Engineering Conference, APPEEC . ISSN 2157-4839 http://dx.doi.org/10.1109/APPEEC.2012.6307692 |
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QC Physics Shariati, Omid Mohd. Zin, Abdullah Asuhaimi Khairuddin, Azhar Pesaran, Mahmoud Aghamohammadi, Mohammadreza An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
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The first part of this two part paper has proposed a novel strategy for frequency response modelling of modern power system, as it recommended a new application of artificial neural network in assessment of power system dynamic performance. The intelligent methods have shown a high ability in estimation and optimisation problems, as the recent advances in computer systems and intelligent methods have created new opportunities. The current paper proposes an integrated under frequency load shedding system based on genetic algorithm which is able to consider all effective factors at the same time. It also presents a new hybrid artificial neural network-genetic algorithm basis system for under frequency load shedding which is a quick, simple and applied method of UFLS. This assessment includes a review of significant researches on under frequency load shedding design and application. |
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Article |
author |
Shariati, Omid Mohd. Zin, Abdullah Asuhaimi Khairuddin, Azhar Pesaran, Mahmoud Aghamohammadi, Mohammadreza |
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Shariati, Omid Mohd. Zin, Abdullah Asuhaimi Khairuddin, Azhar Pesaran, Mahmoud Aghamohammadi, Mohammadreza |
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Shariati, Omid |
title |
An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
title_short |
An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
title_full |
An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
title_fullStr |
An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
title_full_unstemmed |
An integrated method for under frequency load shedding based on hybrid intelligent system-part ii: UFLS design |
title_sort |
integrated method for under frequency load shedding based on hybrid intelligent system-part ii: ufls design |
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2012 |
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http://eprints.utm.my/id/eprint/46598/ http://dx.doi.org/10.1109/APPEEC.2012.6307692 |
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