Dynamic system parameters for the National Grid

Author

Jones, D.I.

Author_Institution

Sch. of Informatics, Univ. of Wales, Bangor

Volume

152

Issue

1

fYear

2005

Firstpage

53

Lastpage

60

Abstract

The use of system identification techniques to estimate the parameters of a low-order dynamic model for the power system in England and Wales is described. The basic technique is to obtain an ARIMAX model by applying a prediction error method to data consisting of 1 second samples of the system frequency and the power output of the Dinorwig fast-response pumped-storage station. From this model the natural frequency, damping factor and stiffness (or beta) of the power system are obtained. Both the daily and monthly variations of the parameters are analysed and the relationship between the total power system load and its stiffness is investigated

Keywords

damping; elastic constants; power system parameter estimation; predictor-corrector methods; pumped-storage power stations; ARIMAX model; Dinorwig fast-response pumped-storage station; England; Wales; damping factor; dynamic system parameters; low-order dynamic model; national grid; natural frequency; parameter estimation; power system; power system load; prediction error method; stiffness; system identification techniques;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:20041062

Filename

1393418