Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms
Omar Sami Thiab , Łukasz Nogal , Ryszard Kowalik
In the electrical power system, the accuracy of phasor estimation represents essential and critical issue due to the dependability of many fields on the characteristic of the estimated signals. Therefore, several algorithms have been suggested to estimate the main aspects of these signals. This paper presents a comparative evaluation of dynamic phasor estimation algorithms, namely the linear Kalman and extended Kalman filter. Many tests have been made on the dynamic filters were developed in the Simulink environment of MATLAB, The tests include amplitude step, phase step, frequency step, total vector error and computation time. Test and simulation results are provided to highlight each algorithm suitability and limitations to estimate the phasor of the power system.
|Publication size in sheets||0.6|
|Book||Iiiadis L., Papadopoulos H., Jayne C. (eds.): Communications in Computer and Information Science, vol. 383, 2013|
|Score||= 0.0, 20-05-2020, MonographChapterAuthor|
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