Recursive Least-Square-Based Parameter Estimation for Dynamic State Estimation in Power Grids-Reference-Cited by-同舟云学术

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Recursive Least-Square-Based Parameter Estimation for Dynamic State Estimation in Power Grids

Published:2023-12-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON)
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Author:

Riahinia Shahin¹,Ameli Amir¹,Ghafouri Mohsen²,Yassine Abdulsalam³

Affiliation:

1. Lakehead University,Department of Electrical and Computer Engineering,Thunder Bay,ON,Canada

2. Concordia University,Concordia Institute for Information Systems Engineering (CIISE),Montreal,QC,Canada

3. Lakehead University,Department of Software Engineering,Thunder Bay,ON,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430416/10430420/10431192.pdf?arnumber=10431192

Reference20 articles.

1. Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

2. Achieving a 100% Renewable Grid: Operating Electric Power Systems with Extremely High Levels of Variable Renewable Energy

3. Risk Mitigation for Dynamic State Estimation Against Cyber Attacks and Unknown Inputs

4. Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

5. A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

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