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

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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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Citation Formats

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.