Severity indices for contingency screening in dynamic security assessment

Author

Brandwajn, V. ; Kumar, A.B.R. ; Ipakchi, A. ; Bose, Anjan ; Kuo, Steve D.

Author_Institution

ABB Syst. Control Co. Inc., Santa Clara, CA, USA

Volume

12

Issue

3

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

1136

Lastpage

1142

Abstract

At present, the computational requirement for dynamic security assessment (DSA) is a hurdle for a comprehensive on-line DSA to be implemented in energy management systems. In addition to faster time domain solutions, novel approaches and techniques are being developed for contingency screening and remedial actions. This paper describes one such development in the area of contingency screening which can be seen as an extension of techniques developed over the years for static security analysis. Some new concepts and methods are suggested for both contingency ranking and contingency classification (stable/unstable). Results from realistic test systems illustrate the capabilities and performance of the new approach

Keywords

neural nets; power system analysis computing; power system security; time-domain analysis; contingency classification; contingency ranking; contingency screening; on-line dynamic security assessment; power systems; severity indices; static security analysis; time domain solutions; Artificial neural networks; Computational modeling; Control systems; Energy management; Power system analysis computing; Power system dynamics; Power system transients; Security; Stability; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.630453

Filename

630453