Title :
The direct parameter identification approach for continuous-time model of power system
Author :
Zhu Shouzhen ; Shen Shande ; Chen Houlian ; Jiao Lianwei ; Wang Ligang ; Xu Wei
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
The identification of continuous-time models is one of the most important branches of power system identification. The direct method based on equation error formulation using piecewise linear polynomial functions is not only simple but also useful for online parameter estimation. Another direct method based on output error formulation using least squares parameter estimation is also developed in this paper. The comparison results of direct and indirect methods are given. The results of the field tests demonstrate that the application of the direct methods to power systems is feasible.<>
Keywords :
least squares approximations; parameter estimation; piecewise polynomial techniques; piecewise-linear techniques; power systems; continuous-time model; direct parameter identification; equation error formulation; least squares approach; online; output error formulation; piecewise linear polynomial functions; power system; Chemical industry; Context modeling; Equations; Mathematical model; Parameter estimation; Polynomials; Power system modeling; Sampling methods; System identification; System testing;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320670
