Dynamic security assessment is of special importance to island power systems. The CPU time required in order to apply conventional methods for those calculations do not allow real time application. The fast calculation time is, therefore, an important advantage of artificial neural-networks compared to other methods. This paper presents two neuralnetwork models that were designed to calculate the minimal frequency and the load shedding system operation during a forced outage of a generating unit. The minimal frequency and the extent of the load sheddiiig are strong indications of the severity of the fault. Hence, it is a significant part of the dynamic security assessment procedure.
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