Expert system for classification and analysis of power system events

Author

Styvaktakis, Emmanouil ; Bollen, Math H J ; Gu, Irene Y H

Author_Institution

Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden

Volume

17

Issue

2

fYear

2002

fDate

4/1/2002 12:00:00 AM

Firstpage

423

Lastpage

428

Abstract

This paper presents an expert system that is able to classify different types of power system events to the underlying causes (i.e., events) and offer useful information in terms of power quality. The expert system uses the voltage waveforms and distinguishes the different types of voltage dips (fault-induced, transformer saturation, induction motor starting) as well as interruptions (nonfault, fault-induced). A method for event-based classification is used, where a segmentation algorithm is first applied to divide waveforms into several possible events. The expert system is tested using real measurements and the results show that the system enables fast and accurate analysis of data from power quality monitors

Keywords

Kalman filters; expert systems; power supply quality; power system analysis computing; power system faults; 11 kV; 33 kV; 6.6 kV; Kalman filtering; event-based classification; expert system; fault-induced voltage dips; induction motor starting; interruptions; medium voltage network; overvoltages analysis; power quality; power quality monitors; power system events analysis; power system events classification; power system monitoring; segmentation algorithm; transformer saturation; voltage dips; voltage sags; voltage waveforms; Circuit faults; Data analysis; Expert systems; Induction motors; Power measurement; Power quality; Power system analysis computing; Power system faults; System testing; Voltage fluctuations;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.997911

Filename

997911