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首页> 外文期刊>Electric Power Systems Research >Dynamic state and parameter estimation of the improved Heffron-Phillips model using a fast UKF-based algorithm and a novel rotor angle measurement approach
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Dynamic state and parameter estimation of the improved Heffron-Phillips model using a fast UKF-based algorithm and a novel rotor angle measurement approach

机译：Dynamic state and parameter estimation of the improved Heffron-Phillips model using a fast UKF-based algorithm and a novel rotor angle measurement approach

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摘要

This paper deals with simultaneous state and parameters estimation of an improved Heffron-Phillips (IHP) model that can be widely deployed for small-signal stability analysis and control aims, such as the governor and PSS tuning in smart grids. To this end, firstly, the IHP model containing a more accurate model for excitation system than that of in the traditional Heffron-Phillips model (THP) and the turbine-governor dynamics are implemented. Then, a fast unscented Kalman filter (UKF)-based estimation method is proposed to determine both states and parameters of the IHP model. This paper's proposed method works significantly in systems with high dimensional unknown parameters since it can specify each part of parameters at different stages, based on a parameter sensitivity analysis. Furthermore, an accurate approach for measuring the synchronous generator (SG) load angle as one of the IHP model critical outputs is discussed in this paper. This approach outweighs other existing approaches in accuracy and measurement speed. Finally, the proposed procedure is applied on a 160 MVA gas unit using PMU data, and the results are demonstrated.

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