Title :
Tracking the machine states using a linear phasor estimator assisted dynamic state estimator
Author :
Rouhani, A. ; Abur, Ali
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
This paper is concerned about efficiently performing dynamic state estimation in very large scale power systems. Unlike the commonly used approach of approximating bus loads as constant impedances and using a reduced system model, this paper relies on a phasor based linear state estimator that uses the detailed system model to obtain the bus voltage estimates at a fast rate, thus eliminating the need to model loads. Moreover, the computational effort associated with dynamic state estimation is reduced by strategically dividing the system into small size zones and carrying out the dynamic state estimation independently for each one. As an illustration, dynamic state variables of a two-axis synchronous generator with IEEE-Type1 Exciter are estimated based on the proposed approach. The issue of possible synchronization errors among measurements is also addressed.
Keywords :
phasor measurement; power system state estimation; synchronisation; synchronous generators; IEEE-Type1 Exciter; bus voltage estimation; dynamic state variables; linear phasor estimator assisted dynamic state estimator; machine state tracking; synchronization errors; two-axis synchronous generator; Equations; Generators; Mathematical model; Power system dynamics; State estimation; Transmission line measurements; Voltage measurement; Dynamic Loads; Dynamic State Estimation; Power Systems Dynamics; Unscented Kalman Filter (UKF);
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6939364