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.

Author Omar Sami Thiab - [Republic of Iraq Ministry of Electricity]
Omar Sami Thiab,,
, Łukasz Nogal (FoEE / IEPE)
Łukasz Nogal,,
- The Institute of Electrical Power Engineering
, Ryszard Kowalik (FoEE / IEPE)
Ryszard Kowalik,,
- The Institute of Electrical Power Engineering
Publication size in sheets0.6
Book Iiiadis L., Papadopoulos H., Jayne C. (eds.): Communications in Computer and Information Science, vol. 383, 2013
Languageen angielski
Score (nominal)0
ScoreMinisterial score = 0.0, 20-05-2020, MonographChapterAuthor
Publication indicators Scopus Citations = 0
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