A CASE-BASED APPROACH TO ALTERNATOR MODELING

a case-based intelligent system for predicting alternator dynamics is described, in which the appropriate knowledge is accumulated from off- line simulation using an accurate digital model The approach is detail ed in terms of the dynamic performance of a one-machine infinite-bus s ystem following a three-phase short-circuit. The predictions are compa red with those generated by direct use of the benchmark model. The lev el of accuracy indicated by this comparison and the speed of solution obtained both suggest that the case-based method could be suitable for the on-line study of transient stability when used in conjunction wit h a fault-identification system. The cpu time required is of the order of one quarter of the real time in the predicted response.