Title :
Dynamic system parameters for the National Grid
Author_Institution :
Sch. of Informatics, Univ. of Wales, Bangor
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;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:20041062
