PMU based Dynamic Model Calibration of Type-4 Wind Turbine Generators

AÇILAN E., Erden F., Ustundag O., Bozkurt E., GÖL M.

57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022, İstanbul, Turkey, 30 August - 02 September 2022 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/upec55022.2022.9917733
  • City: İstanbul
  • Country: Turkey
  • Keywords: Collinearity, Ensemble Kalman Filter, Parameter Estimation, Sensitivity Analysis, Wind Power Plant, Wind Turbines
  • Middle East Technical University Affiliated: Yes


© 2022 IEEE.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.