Fast stability enhancement of inverter‐based microgrids using NGO‐LSTM algorithm

Abstract To improve the stability of the inverter‐based microgrid (MG), this paper employs a novel data‐driven based method to coordinately adjust control parameters of inverters in a fast local manner. During the design process, an offline eigenvalue based optimization problem that is used to calcu...

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Hlavní autoři:	Kai Pang, Zhiyuan Tang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2024-11-01
Edice:	IET Renewable Power Generation
Témata:	learning (artificial intelligence) Microgrids power system stability
On-line přístup:	https://doi.org/10.1049/rpg2.13137
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