Improving primary frequency response in networked microgrid operations using multilayer perceptron-driven reinforcement learning (Englisch)
Freier Zugriff
- Neue Suche nach: Radhakrishnan, Nikitha
- Neue Suche nach: Chakraborty, Indrasis
- Neue Suche nach: Xie, Jing
- Neue Suche nach: Thekkumparambath Mana, Priya
- Neue Suche nach: Tuffner, Francis K.
- Neue Suche nach: Bhattarai, Bishnu P.
- Neue Suche nach: Schneider, Kevin P.
- Neue Suche nach: Radhakrishnan, Nikitha
- Neue Suche nach: Chakraborty, Indrasis
- Neue Suche nach: Xie, Jing
- Neue Suche nach: Thekkumparambath Mana, Priya
- Neue Suche nach: Tuffner, Francis K.
- Neue Suche nach: Bhattarai, Bishnu P.
- Neue Suche nach: Schneider, Kevin P.
In:
IET Smart Grid
;
3
, 4
;
500-507
;
2020
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Improving primary frequency response in networked microgrid operations using multilayer perceptron-driven reinforcement learning
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Beteiligte:Radhakrishnan, Nikitha ( Autor:in ) / Chakraborty, Indrasis ( Autor:in ) / Xie, Jing ( Autor:in ) / Thekkumparambath Mana, Priya ( Autor:in ) / Tuffner, Francis K. ( Autor:in ) / Bhattarai, Bishnu P. ( Autor:in ) / Schneider, Kevin P. ( Autor:in )
-
Erschienen in:IET Smart Grid ; 3, 4 ; 500-507
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:16.07.2020
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Format / Umfang:8 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:system collapse , improving primary frequency response , networked microgrids , fast frequency response , learning (artificial intelligence) , networked microgrid operations , power generation control , frequency control , existing generator controls , frequency response , grid-following inverter-connected renewable energy resources , power systems , frequency deviation , individual microgrids , renewable energy sources , distributed power generation , reinforcement-learning-based controller , switching transient scenarios , multilayer perceptron-driven reinforcement learning , system voltage , system topologies , resource sharing , system inertia , invertors , power distribution control , multilayer perceptrons , critical end-use loads
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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