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Application of Artificial Neural Network (ANN) technique forthe measurement of voltage stability using FACTS Controller
Abstract: A Methodology is proposed for the online monitoring and assessment of voltage stability margins,using artificial neural networks and FACTS controllers with a reduced input data setfrom the power system. In this methodology, first the system model isreduced using self – organized artificialneural networks and an extended AESOPS algorithm. Then supervised learning of multilayered artificial neural networks is carried out on the basis of this reducedmodel. Finally, on the basis of trainednetwork and the reduced set of system variables, monitoring is carried out alongwith the assessment of voltage stabilitymargins. This methodology is tested comparatively with a methodology for monitoring and assessing voltage stabilityusing a complete input data set. The tests were carried out on a real power system with92 buses. The results obtained indicate the justifiability of using a reduced system because of the increased efficiency andaccuracy of calculation, both in the learning stage and in the recall stage of the artificialneural network.
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