A Single Machine Equivalent-Based Approach for Online Tracking of Power System Transient Stability

This paper presents a systematic single machine equivalent system based scheme for fast and accurate prediction of impending angular stability using measurements from generator terminals only. In a post-fault scenario, Kalman filter is designed to estimate rotor positions in real-time, based on damp...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on power systems Vol. 36; no. 3; pp. 1688 - 1696
Main Authors Ashraf, Syed Mohammad, Chakrabarti, Saikat
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Damper windings
Equivalence
Kalman filter
Kalman filters
PMU measurements
Power system stability
Rotors
Shock absorbers
SIME
Stability criteria
Stator windings
Terminals
trajectory prediction
Transient stability
transient stability prediction
Windings
Online AccessGet full text

Cover

More Information
Summary:This paper presents a systematic single machine equivalent system based scheme for fast and accurate prediction of impending angular stability using measurements from generator terminals only. In a post-fault scenario, Kalman filter is designed to estimate rotor positions in real-time, based on damper winding observer with measurements gathered from generator terminals. To identify critical machines, short time-ahead prediction of rotor position is made by designing another Kalman filter. A general method is suggested to differentiate between critical and non-critical machines. To further enhance the accuracy of predicted time to instability, an extrapolation algorithm is developed, based on the knowledge of estimated rotor angles and short time-ahead predicted rotor angles. The proposed methods are successfully implemented on WSCC 9-bus, IEEE 39-bus, and NRPG 246-bus test systems.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2020.3033308