Minimum-features-based ANN-PSO approach for islanding detection in distribution system (Englisch)
Freier Zugriff
- Neue Suche nach: Raza, Safdar
- Neue Suche nach: Mokhlis, Hazlie
- Neue Suche nach: Arof, Hamzah
- Neue Suche nach: Naidu, Kanendra
- Neue Suche nach: Laghari, Javed Ahmed
- Neue Suche nach: Khairuddin, Anis Salwa Mohd
- Neue Suche nach: Raza, Safdar
- Neue Suche nach: Mokhlis, Hazlie
- Neue Suche nach: Arof, Hamzah
- Neue Suche nach: Naidu, Kanendra
- Neue Suche nach: Laghari, Javed Ahmed
- Neue Suche nach: Khairuddin, Anis Salwa Mohd
In:
IET Renewable Power Generation
;
10
, 9
;
1255-1263
;
2016
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Minimum-features-based ANN-PSO approach for islanding detection in distribution system
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Beteiligte:Raza, Safdar ( Autor:in ) / Mokhlis, Hazlie ( Autor:in ) / Arof, Hamzah ( Autor:in ) / Naidu, Kanendra ( Autor:in ) / Laghari, Javed Ahmed ( Autor:in ) / Khairuddin, Anis Salwa Mohd ( Autor:in )
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Erschienen in:IET Renewable Power Generation ; 10, 9 ; 1255-1263
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:01.10.2016
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:DER , load variation , DER tripping , evolutionary programming , artificial neural network , fault detection , power generation reliability , capacitor switching , neural nets , power distribution faults , minimum-feature-based ANN-PSO approach , distribution system , ANN-EP , distributed power generation , induction motors , power distribution reliability , regression value , islanding event , induction motor starting , stand-alone ANN , intelligent islanding detection technique , particle swarm optimisation , distributed energy resources , power engineering computing , nonislanding event , regression analysis
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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