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

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 off-line and then utilized on-line for monitoring voltage security. The neuro-fuzzy network is tested on 3000 simulated datas from randomly generated operating conditions on the IEEE 30-bus system to indicate its high classification rate for voltage security monitoring.