Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements

Author

Liu, Chih-Wen ; Chang, Chen-Sung ; Su, Mu-Chun

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

13

Issue

2

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

326

Lastpage

332

Abstract

The ability to rapidly acquire synchronized phasor measurements from around a power network opens up new possibilities for power system operation and control. A novel neuro-fuzzy network, the fuzzy hyperrectangular composite neural network, is proposed for voltage security monitoring (VSM) using synchronized phasor measurements as input patterns. This paper demonstrates how neuro-fuzzy networks can be constructed offline and then utilized online for monitoring voltage security. The neuro-fuzzy network is tested on 3000 simulated data from randomly generated operating conditions on the IEEE 30-bus system to indicate its high classification rate for voltage security monitoring

Keywords

computerised monitoring; fuzzy neural nets; power system analysis computing; power system measurement; power system security; voltage measurement; IEEE 30-bus system; classification rate; computer simulation; fuzzy hyperrectangular composite neural network; neuro-fuzzy network; operating conditions; power system voltage security monitoring; synchronized phasor measurements; Control systems; Data security; Fuzzy neural networks; Monitoring; Power measurement; Power system control; Power system measurements; Power system security; Power systems; Voltage;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.667346

Filename

667346