Title :
A new framework for estimation of generator dynamic parameters
Author :
Shen, Meng ; Venkatasubramanian, Vaithiananthan ; Abi-Samra, Nicholas ; Sobajic, Dejan
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
Summary form only given as follows. The accuracy of generator dynamic parameters is one of the crucial factors in correctly simulating the power system transient phenomena. This paper proposes a general procedure for estimating the generator dynamic parameters from measurements. The proposed procedure employs a gradient based simulation optimization technique to estimate the parameters. Effectiveness of the simulation optimization method is shown in some examples for estimating the exciter and governor model parameters. Impacts of noise and parameter uncertainties are briefly discussed in the paper
Keywords :
electric generators; exciters; machine theory; optimisation; power system parameter estimation; power system transients; exciter parameters; generator dynamic parameters estimation framework; governor model parameters; gradient based simulation optimization technique; noise; parameter uncertainties; power system transient phenomena simulation; Computational modeling; Computer science; Computer simulation; Mesh generation; Power generation; Power system dynamics; Power system planning; Power system simulation; Power systems; Student members;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850184
