Application of artificial neural networks for security assessment of medium size power systems

Author

Karapidakis, E.S. ; Hatziargyriou, N.D.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

3

fYear

2000

fDate

29-31 May 2000

Firstpage

1189

Abstract

Isolated electrical power systems face specific problems related to their operation and control. Some of the most important ones are related to the system dynamic stability. It is therefore apparent the need for a fast dynamic security assessment (DSA) function, in order to improve system operation. In this paper ANNs of multilayer perceptron (MLP) architecture are applied for online DSA. It is shown that is proposed for better performance in DSA. The application of this technique on the power system of Crete is shown to provide online maximum frequency deviations and maximum frequency change rates in case of pre-specified contingencies.

Keywords

multilayer perceptrons; neural nets; power system analysis computing; power system security; Crete; artificial neural networks; computer simulation; dynamic security assessment; dynamic stability; isolated electrical power systems; maximum frequency change rates; maximum frequency deviations; medium-size power system security assessment; multilayer perceptron architecture; pre-specified contingencies; Artificial neural networks; Frequency; Power generation; Power system control; Power system dynamics; Power system modeling; Power system security; Power system simulation; Power system stability; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean

Print_ISBN

0-7803-6290-X

Type

conf

DOI

10.1109/MELCON.2000.879748

Filename

879748