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

C. W. Liu, J. S. Chang, M. C. Su

Research output: Contribution to journalArticlepeer-review

Abstract

The ability to rapidly acquire synchronized phasor measurements from around the system open up new possibilities for power system operation and control. A novel neuro-fuzzy network, 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 3,000 simulated data from randomly generated operating conditions on the IEEE 30-bus system to indicate its high classification rate for voltage security monitoring.

Original languageEnglish
Pages (from-to)32
Number of pages1
JournalIEEE Power Engineering Review
Volume17
Issue number9
StatePublished - 1997

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