An equivalent of multi-machine power systems and its identification for on-line application to decentralized stabilizers
Journal Article
·
· IEEE Trans. Power Syst.; (United States)
An analysis of modal oscillations in multi-machine power systems is presented. On the basis of the analysis, a power system equivalent representing a coherence mode of oscillations appearing in such a multi-machine system is proposed for designing a decentralized control system. The equivalent is represented by an equivalent voltage and an equivalent reactance, which are identified by using measurements on a generator in the multi-machine system under a transient condition. The identification is implemented by a sequential estimator based on the Kalman filter algorithm. Performance of the estimator is verified by using actual data on some example power systems.
- Research Organization:
- Fuji Electric Corp. Research and Development, Ltd., 1 Fuji, Hino, Tokyo (JP); Kansai Electric Power Co., Ltd., 3-11-20 Nakoji, Amagasaki (JP)
- OSTI ID:
- 6012877
- Journal Information:
- IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. 4:2; ISSN ITPSE
- Country of Publication:
- United States
- Language:
- English
Similar Records
Kalman filter application for distributed parameter estimation in reactor systems
Coherency identification and stability equivalent for transient stability studies of power systems
A dynamic on-line parameter identification and full-scale system experimental verification for large synchronous machines
Journal Article
·
Mon Jul 01 00:00:00 EDT 1996
· Nuclear Science and Engineering
·
OSTI ID:282421
Coherency identification and stability equivalent for transient stability studies of power systems
Thesis/Dissertation
·
Thu Dec 31 23:00:00 EST 1981
·
OSTI ID:6344674
A dynamic on-line parameter identification and full-scale system experimental verification for large synchronous machines
Journal Article
·
Fri Sep 01 00:00:00 EDT 1995
· IEEE Transactions on Energy Conversion
·
OSTI ID:147918