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PMU based Dynamic Model Calibration of Type-4 Wind Turbine Generators
Date
2022-01-01
Author
Açılan, Etki
Erden, Fatih
Ustundag, Oguzhan
Bozkurt, Ersan
Göl, Murat
Metadata
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Dynamic models of power plants may change during its operation due to physical processes and human error. Inaccurate dynamic power plant models may affect the operation and planning of power systems. Hence, keeping the model updated is crucial. Traditionally, dynamic models of power plants are calibrated by offline staged tests. Recently, PMU based remote calibration techniques are developed in attempt to calibrating the dynamic models remotely and reducing the frequency of offline calibration. This paper presents the implementation of PMU based dynamic model calibration of Type-4 Wind Turbine Generators by using the Ensemble Kalman Filter. The implementation is done by using PSS®E in PythonTM environment, and validated by using WSCC-9 Bus System.
Subject Keywords
Collinearity
,
Ensemble Kalman Filter
,
Parameter Estimation
,
Sensitivity Analysis
,
Wind Power Plant
,
Wind Turbines
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141508547&origin=inward
https://hdl.handle.net/11511/101657
DOI
https://doi.org/10.1109/upec55022.2022.9917733
Conference Name
57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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E. Açılan, F. Erden, O. Ustundag, E. Bozkurt, and M. Göl, “PMU based Dynamic Model Calibration of Type-4 Wind Turbine Generators,” presented at the 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022, İstanbul, Türkiye, 2022, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141508547&origin=inward.
