Dynamic state estimation of multi-machine power system with UPFC using EKF algorithm

Meera R Karamta, Jitendra G Jamnani

Abstract


Estimation of dynamic state variables in a multi-machine power system connected with UPFC is presented in this paper, using Extended Kalman filter (EKF) algorithm. A two-generator test case is used to estimate the generator rotor angle and rotor speed. The DC link voltage of the UPFC is the additional state variable to be estimated. Dynamic mathematical modeling of the multi-machine system with UPFC is explained in this work. DSE is done under transient condition of three-phase fault.

Keywords


Dynamic state estimation; Extended Kalman filter; FACTS; State prediction; UPFC

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DOI: http://doi.org/10.11591/ijeecs.v21.i2.pp642-646

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The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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