Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms

Autor:	Omar Sami Thiab, Ryszard Kowalik, Łukasz Nogal
Rok vydání:	2020
Předmět:	Electric power system Extended Kalman filter Computer Science::Systems and Control Computer science Computation Dynamic demand Phasor Dependability Kalman filter MATLAB Algorithm computer computer.programming_language
Zdroj:	Communications in Computer and Information Science ISBN: 9783030387518 ACRIT
DOI:	10.1007/978-3-030-38752-5_9
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::52c926550acc929c189b645f6ca36270 https://doi.org/10.1007/978-3-030-38752-5_9 Zobrazit plný text záznamu