Dynamic State Estimation of Sub-Transient Synchronous Generator Model Using Unscented Kalman Filter

Author:

Milati Nur1,Ali Husni Rois1,Wahyunggoro Oyas1

Affiliation:

1. Universitas Gadjah Mada,Department of Electrical and Information Engineering,Yogyakarta,Indonesia

Funder

Ministry of Finance

Publisher

IEEE

Reference14 articles.

1. Estimasi State Kondisi Dinamis Generator Sinkron Menggunakan Metode Unscented Kalman Filter;Akbar;Skripsi. UGM,2022

2. Koopman Operator Framework for Time Series Modeling and Analysis

3. A Performance Comparison Study of Quasi-Dynamic State Estimation and Static State Estimation

4. Power System Static State Estimation and Stability Analysis;Thabet;Academic Publication Center of Tunis, Tunisia,2010

5. Dynamic state estimation-based protection of power transformers

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1. Simultaneous Input, Parameter, and State Estimation for Multi-Machine Power Systems with Detailed Generator Model;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

2. Derivative-based Dynamic State Estimation of Synchronous Generator using Extended Kalman Filter;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

3. A Nonlinear Dynamic State Estimation Approach to Synchronous Generator Using Cubature Kalman Filter;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

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