Efficient online estimation of electromechanical modes in large power systems

Author

De Marco, F.J. ; Apolinario, J.A. ; Pellanda, Paulo C. ; Martins, Nuno

Author_Institution

Inst. Mil. de Eng., Rio de Janeiro, Brazil

fYear

2013

fDate

Feb. 27 2013-March 1 2013

Firstpage

1

Lastpage

4

Abstract

This paper investigates the performance of a fast converging adaptive filter, the Recursive Least Squares algorithm based on the Inverse QR Decomposition (IQRD-RLS), with an exact initialization procedure, for the online estimation of low-damped electromechanical modes in a power system. In this approach, the modes are tracked from ambient data, once it is assumed that load variations constantly excite the electromechanical dynamics as a nearly white noise input. Monte Carlo linear simulations are run on the full Brazilian Interconnected Power System model to generate power system ambient data. The performance of the IQRD-RLS algorithm is compared to that of the Least Mean Squares (LMS) algorithm when estimating the slowest interarea mode in the system.

Keywords

Monte Carlo methods; adaptive filters; electromechanical effects; least mean squares methods; power engineering computing; power system interconnection; recursive estimation; singular value decomposition; Brazilian interconnected power system model; IQRD-RLS algorithm; Monte Carlo linear simulation; adaptive filter; electromechanical dynamics; initialization procedure; inverse QR decomposition; online electromechanical mode estimation; recursive least square algorithm; Convergence; Damping; Estimation; Least squares approximations; Power system stability; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (LASCAS), 2013 IEEE Fourth Latin American Symposium on

Conference_Location

Cusco

Print_ISBN

978-1-4673-4897-3

Type

conf

DOI

10.1109/LASCAS.2013.6518979

Filename

6518979