LSTM Data-Driven Model of Multi-scene Virtual Synchronous Generator-Reference-Cited by-同舟云学术

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LSTM Data-Driven Model of Multi-scene Virtual Synchronous Generator

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
language:
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Author:

Tian Jiangbin¹,Zeng Guohui¹,Zhang Zhenhua¹,Wang Yuzong¹,Zhao Jinbin²,Zhu Xiangchen³

Affiliation:

1. Shanghai University of Engineering Science,School of Electronic and Electrical Engineering,Shanghai,China

2. Shanghai University of Electric Power,College of Electrical Engineering,Shanghai,China

3. Aalborg University,Department of Energy Technology,Aalborg,Denmark

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10264177/10264226/10264612.pdf?arnumber=10264612

Reference12 articles.

1. Hybrid Data-Driven and Model-Based Distribution Network Reconfiguration With Lossless Model Reduction

2. A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

3. Small signal modelling and Parameter Analysis of Virtual Synchronous Generator Based Control in Isolated Microgrid

4. Linearizing Power Flow Model: A Hybrid Physical Model-Driven and Data-Driven Approach

5. Small-Signal Modeling and Parameters Design for Virtual Synchronous Generators

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