Transient stability real-time prediction for multi-machine power systems by using observation

Author

Sun, J.H. ; Lo, K.L.

Author_Institution

Tsinghua Univ., Beijing, China

Volume

5

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

217

Abstract

This paper presents a fast real-time transient stability prediction method for multimachine power systems which does not need the knowledge of network configuration and load characteristics. The least-squares method is used to estimate the parameters of the model and an adaptive technique is used to improve the prediction accuracy. The computational time is extremely fast and is independent of the number of machines and nodes. The prediction is performed on observation data only, and does not require knowledge of system parameters. The effectiveness and feasibility of the method has been tested on a four-machine power system.<>

Keywords

least squares approximations; power system analysis computing; power system stability; power system transients; real-time systems; adaptive technique; computation time; effectiveness; feasibility; four-machine power system; least-squares method; multimachine power systems; prediction accuracy; real-time transient stability prediction; Accuracy; Parameter estimation; Power system modeling; Power system stability; Power system transients; Power systems; Prediction methods; Predictive models; Real time systems; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320622

Filename

320622