Measurement-Driven Damping Control Based on the Deep Transfer Reinforcement Learning to Suppress Sub-synchronous Oscillations in a Large-Scale Renewable Power System-Reference-Cited by-同舟云学术

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Measurement-Driven Damping Control Based on the Deep Transfer Reinforcement Learning to Suppress Sub-synchronous Oscillations in a Large-Scale Renewable Power System

Published:2024-09 Issue:5 Volume:39 Page:6649-6661
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

He Yufan¹^ORCID,Du Wenjuan¹^ORCID,Fu Qiang¹^ORCID,Wang Haifeng¹^ORCID

Affiliation:

1. College of Electrical Engineering, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Youth Innovative Research Team of Science and Technology Scheme

New Energy Power System

Engineering Special Team of Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/59/10640202/10400836.pdf?arnumber=10400836

Reference51 articles.

1. Sub-Synchronous Interaction Damping Control for DFIG Wind Turbines

2. Real-World 20-Hz IBR Subsynchronous Oscillations: Signatures and Mechanism Analysis

3. Oscillation mode identification of Guizhou-Guangdong II HVDC transmission system

4. Analytical Examination of Oscillatory Stability of a Grid-Connected PMSG Wind Farm Based on the Block Diagram Model

5. Concept of Modal Repulsion for Examining the Subsynchronous Oscillations Caused by Wind Farms in Power Systems

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