DocumentCode :
420416
Title :
System-response-based eigenvalue estimation for on-line assessment of power system stability
Author :
Hiraiwa, H. ; Saitoh, H. ; Tsukada, E. ; Minazawa, K. ; Toyoda, J.
Author_Institution :
Graduate Sch. of Electr. Eng., Tohoku Univ., Sendai, Japan
Volume :
1
fYear :
2004
fDate :
5-8 April 2004
Firstpage :
366
Abstract :
This paper proposes a new method for modal analysis of large power systems that is based on synchronously measured system responses. The method can identify the eigenvalues corresponding to weakly damped electromechanical modes by analyzing the covariance matrix among rotor angles and speeds of generators. By the method, a power system is identified as a multi-input multi-output linear system, so that the characteristics of several modes can be analyzed simultaneously. In addition, the method to select a small number of generators for estimating slow oscillatory modes is discussed, and which is based on the application of coherencies of generators. The effectiveness of the new modal analysis is confirmed through the simulation studies of the IEEJ East10 machine model.
Keywords :
MIMO systems; covariance matrices; eigenvalues and eigenfunctions; linear systems; modal analysis; power system interconnection; power system stability; IEEJ East10 machine model; covariance matrix; damped electromechanical modes; generator speed; large power systems; modal analysis; multiinput multioutput linear system; online assessment; power system stability; rotor angles; system-response-based eigenvalue estimation; Analytical models; Covariance matrix; Eigenvalues and eigenfunctions; Linear systems; Modal analysis; Power measurement; Power system analysis computing; Power system measurements; Power system stability; Rotors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8237-4
Type :
conf
DOI :
10.1109/DRPT.2004.1338523
Filename :
1338523
Link To Document :
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