Reduced-order harmonic estimation with probable sensor failures

Author

Yaz, Edwin E. ; Olejniczak, Kraig J. ; Wu, Ping ; Yaz, Yvonne I.

Author_Institution

Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA

Volume

2

fYear

1998

fDate

16-18 Dec 1998

Firstpage

1297

Abstract

A nonstationary discrete-time model is used for representation of harmonic components of nonsinusoidal signals observed in electric power systems. The measurement devices utilized are assumed to have nonzero failure probabilities that introduce stochastic parameters into the dynamic model used in estimation. A finite-time, linear, unbiased, reduced-order, minimum-variance state estimator is derived to predict the future behavior of this model. This is desired in order to annihilate the harmonic components which pollute the electric power system. Simulation results are provided to illustrate the use of this estimator and support the theoretical results

Keywords

failure analysis; power system harmonics; power system parameter estimation; power system state estimation; probability; reduced order systems; harmonic components; nonsinusoidal signals; nonstationary discrete-time model; parameter estimation; power systems; probability; reduced-order estimation; state estimation; Environmentally friendly manufacturing techniques; Noise measurement; Pollution measurement; Power harmonic filters; Power system harmonics; Power system modeling; Power system relaying; Predictive models; State estimation; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0191-2216

Print_ISBN

0-7803-4394-8

Type

conf

DOI

10.1109/CDC.1998.758459

Filename

758459