Dynamic State Estimation for Inverter-Based Resources: A Control-Physics Dual Estimation Framework-Reference-Cited by-同舟云学术

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Dynamic State Estimation for Inverter-Based Resources: A Control-Physics Dual Estimation Framework

Published:2024-09 Issue:5 Volume:39 Page:6456-6468
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Huang Heqing¹^ORCID,Lin Yuzhang¹^ORCID,Lu Xiaonan²^ORCID,Zhao Yue³^ORCID,Kumar Avinash⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, New York University, New York, NY, USA

2. Purdue University, West Lafayette, IN, USA

3. Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA

4. Advanced Research Institute, Virginia Tech, Blacksburg, VA, USA

Funder

National Science Foundation

U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy

Solar Energy Technologies Office

U.D. Department of Navy

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/59/10640202/10423267-aam.pdf

Reference32 articles.

1. A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications

2. On the Stability of Power Electronics-Dominated Systems: Challenges and Potential Solutions

3. Mapping of Dynamics Between Mechanical and Electrical Ports in SG-IBR Composite Grids

4. Transient Stability Assessment of Multi-Machine Multi-Converter Power Systems

5. Power System Stability With a High Penetration of Inverter-Based Resources

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