Adaptive Cubature Kalman Filter for Power Systems Dynamic State Estimation in Face of Unknown Non-Stationary Noise Statistics-Reference-Cited by-同舟云学术

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Adaptive Cubature Kalman Filter for Power Systems Dynamic State Estimation in Face of Unknown Non-Stationary Noise Statistics

Published:2021-12-01 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Performance Evaluation (ComPE)
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Author:

Chowdhury Arindam¹,Chatterjee Sayantan¹,Dey Aritro¹,Thakur S. S.¹

Affiliation:

1. National Institute of Technology, Durgapur,Department of Electrical Engineering,Durgapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751776/9751720/09752121.pdf?arnumber=9752121

Reference12 articles.

1. Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

2. State forecasting in electric power systems

3. Unscented Kalman filter for power system dynamic state estimation

4. Optimal filtering;anderson,1979

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