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

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3 Author(s)
Chih-Wen Liu ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Chen-Sung Chang ; Mu-Chun Su

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

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Power Systems, IEEE Transactions on  (Volume:13 ,  Issue: 2 )