Kalman filter based method for tracking dynamic transmission line parameters

Abstract

Transmission line parameters are required by various power system applications. Thus, it is important to develop accurate transmission line parameter estimation methods. This paper puts forward Kalman filter based methods to track the dynamically changing line parameters. The proposed methods can overcome the estimation inaccuracy problem caused by the effect of the noise in the measurements. The proposed methods are based upon the equivalent- circuit of long line and utilize voltage and current data recorded by the Phasor Measurement Units at both ends of the line. Non-compensated and differently configured series compensated lines have been considered in this paper. The case studies demonstrate that the proposed methods have the capability of dynamically tracking changing line parameters and yield accurate estimates with the presence of measurement noises.

Purchase intentions for cultural heritage products in E-commerce live streaming: An ABC attitude theory analysis

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Decomposition-Based Stacked Bagging Boosting Ensemble for Dynamic Line Rating Forecasting

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Nonlinear Analysis on Transmission Line Parameters Estimation From Noisy Phasorial Measurements

“…A few estimation methods have been proposed by using Kalman-filter based solutions, where voltage and current measurements at both line terminals are required to track parameters of long transmission lines dynamically [23]. Furthermore, these methods are applicable to transmission lines with different series compensation configurations.…”

“…However, the data model is simplistic. In [23], the noise projection into the real and imaginary axes is not considered. Moreover, the practical aspects were not developed, e.g, it was not mentioned if the measures are provided by PMUs or Supervisory Control and Data Acquisition (SCADA).…”