Title :
Industrial approaches for dynamic equivalents of large power systems
Author :
Lei, X. ; Povh, D. ; Ruhle, O.
Author_Institution :
Power Transmission & Distribution Group, Siemens AG, Germany
Abstract :
Issues on the establishment of equivalent networks are becoming essential for the deregulated power market. This paper presents a comprehensive tool for network reduction of large power systems. Through integrating different metrologies into a simulation program, the dynamic equivalent can be established by adopting one common database. With a readily integrated modified Gauss-Newton algorithm, network reduction can be executed under the dynamic conditions either in the time domain or in the frequency domain in coping with nonlinear nature of the system involved. Furthermore, a novel algorithm based on dynamic coherency approach implemented readily into the simulation program is also presented. This novel approach determines coherent generators on nonlinear basis in the time domain using the cross correlation technique, taking dynamic characteristics of the system involved into consideration. Two case studies are presented in this paper. Each of the nonlinear approaches presented is applied for one of the case studies as an application example. The results achieved validate the functionality of the approaches presented.
Keywords :
Newton method; frequency-domain analysis; power systems; time-domain analysis; white noise; Gauss-Newton algorithm; cross correlation; deregulated power market; dynamic coherency approach; dynamic equivalent; dynamic equivalents; equivalent networks; fitting process; frequency domain; industrial approaches; large power systems; modified Gauss-Newton algorithm; network reduction; simulation program; time domain; white-noise signal; Databases; Industrial power systems; Least squares methods; Metrology; Newton method; Nonlinear dynamical systems; Power markets; Power system dynamics; Power system simulation; Recursive estimation;
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
DOI :
10.1109/PESW.2002.985166