A Real-Time Scheme for Validation of an Auto-regressive Time Series Model for Power System Ambient Inter-area Mode Estimation

Author

Pai, Gurudatha K. ; Pierre, John W.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Wyoming, Laramie, WY, USA

fYear

2014

fDate

6-9 Jan. 2014

Firstpage

2436

Lastpage

2443

Abstract

A lattice time series model may be used to estimate the inter-area electromechanical modes of a power system from measured synchrophasor data. The accuracy of these estimates is sensitive to the order of the model. This paper describes a methodology for real-time, order-recursive whiteness testing of the prediction errors. This hypothesis testing methodology may be used in conjunction with the lattice mode-meter algorithm to validate the model in real-time. Results are presented on a model of the western North American power system.

Keywords

autoregressive processes; phasor measurement; power system stability; real-time systems; time series; autoregressie time series model; hypothesis testing methodology; interarea electromechanical modes; lattice mode-meter algorithm; lattice time series model; measured synchrophasor data; power system ambient interarea mode estimation; prediction errors; real-time order-recursive whiteness testing; western North American power system; Correlation; Lattices; Power system stability; Prediction algorithms; Predictive models; Testing; Time series analysis; AR model; Lattice filter; PMU; power system identification; power system modes; power system stability; statistical analysis; synchrophasors; whiteness testing;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences (HICSS), 2014 47th Hawaii International Conference on

Conference_Location

Waikoloa, HI

Type

conf

DOI

10.1109/HICSS.2014.306

Filename

6758905