Premium
Eigenvalue estimation of dominant electromechanical modes based on synchronous measurement and generator grouping technique
Author(s) -
Hiraiwa Hisayuki,
Saitoh Hiroumi,
Tsukada Eiichi,
Minazawa Kazuo,
Toyoda Junichi
Publication year - 2008
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20428
Subject(s) - modal , eigenvalues and eigenvectors , modal analysis , mode (computer interface) , generator (circuit theory) , electric power system , identification (biology) , power (physics) , modal analysis using fem , computer science , system identification , normal mode , control theory (sociology) , engineering , algorithm , modal testing , electronic engineering , vibration , physics , acoustics , artificial intelligence , data mining , measure (data warehouse) , chemistry , botany , control (management) , quantum mechanics , polymer chemistry , biology , operating system
The authors have been studying a new approach for modal analysis of large power systems that utilizes GPS‐based synchronous measurement technology. The approach is based on the identification of a linearized multi‐input multi‐output model of power system. Since the identified model expresses approximately the electromechanical dynamics of an actual power system, modal frequencies, dampings, and mode shapes corresponding to electromechanical modes can be estimated as eigenvalues and eigenvectors of the identified model. In the paper, in order to advance our approach to a practical technique, it is mainly discussed how to select a small number of machines suitable for measurement locations to estimate eigenvalues associated with dominant slow modes. Such machines can be detected by identifying coherent groups related to the slow modes. The reference generators that behave representatively in each coherent group are the optimal ones to be measured. Therefore, the slow modes can be obtained by observing one generator from each group. The verification of the new modal analysis and coherency‐based machine selection is done through simulation studies using the IEEJ EAST 10‐machine system model. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 164(4): 24–32, 2008; Published online in Wiley InterScience ( www.interscience. wiley.com ). DOI 10.1002/eej.20428