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

Fatih Erden, Etki Acilan, Oguzhan Ustundag, Ersan Bozkurt, M. Gol
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Abstract

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.
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基于PMU的4型风力发电机组动态模型标定
电厂的动态模型在运行过程中可能由于物理过程和人为错误而发生变化。不准确的动态电厂模型会影响电力系统的运行和规划。因此,保持模型更新是至关重要的。传统上,发电厂的动态模型是通过离线阶段试验来校准的。为了实现动态模型的远程标定,减少离线标定的频率,近年来发展了基于PMU的远程标定技术。介绍了利用集成卡尔曼滤波实现基于PMU的4型风力发电机组动态模型标定。在python环境下使用PSS®E实现,并使用WSCC-9总线系统进行验证。
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