A Data-Driven Modeling Method of Virtual Synchronous Generator Based on LSTM Neural Network-Reference-Cited by-同舟云学术

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A Data-Driven Modeling Method of Virtual Synchronous Generator Based on LSTM Neural Network

Published:2023 Issue: Volume: Page:1-12
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Tian Jiangbin¹^ORCID,Zeng Guohui¹^ORCID,Zhao Jinbin²^ORCID,Zhu Xiangchen³^ORCID,Zhang Zhenhua¹^ORCID

Affiliation:

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

2. Offshore Wind Power Research Institute, Shanghai University of Electric Power, Shanghai, China

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

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/10339690.pdf?arnumber=10339690

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Model Predictive Control Method for Dual Active Bridge Based on Data-driven Predictive Model;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

2. Virtual Synchronous Generator Frequency Stability Control Based on Data-Driven Model;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10

3. Non-mechanistic Model of Doubly Fed Induction Generators on Artificial Neural Networks;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

4. Data-Driven Modeling of Modular Multilevel Converters Based on HHT and CNN-LSTM-AM Neural Network;IEEE Transactions on Industrial Electronics;2024

5. Data-Driven Propagation Control Algorithms: A New Framework for Higher-Order Interactions;2024

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