A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
This paper addresses a new approach for predicting the generator rotor angle using an adaptive artificial neural network (AANN) for power system stability. The aim of this work is to predict the stability status for each generator when the system is under a contingency. This is based on the initial...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2013
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Online Access: | http://psasir.upm.edu.my/id/eprint/28635/1/0000.pdf http://psasir.upm.edu.my/id/eprint/28635/ |
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Institution: | Universiti Putra Malaysia |
Language: | English |
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