Optimization of energy storage VSG Control strategy based on RBF neural networks

Optimization of energy storage VSG Control strategy based on RBF neural networks

In response to the issue that traditional energy storage VSGs （virtual synchronous generators） cannot simultaneously possess good disturbance resistance and rapid dynamic response capabilities， a control strategy for energy storage VSGs is proposed， optimizing the dynamic synchronizer using RBF （rad...

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Bibliographic Details
Main Authors: GUAN Minyuan, YAO Ying, WU Zhenbin, MAN Jingbin, WU Weiqiang
Format: Article
Language:zho
Published: zhejiang electric power 2024-03-01
Series:Zhejiang dianli
Subjects:
virtual synchronous generator control
rbf neural network
dynamic synchronizer control
energy storage inverter
transient stability
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a72bafe0-dc89-4915-97b6-76ca677ff28c

Internet

https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a72bafe0-dc89-4915-97b6-76ca677ff28c

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