Abstract
In this paper, a strategy for online detecting and warning of wide area power system islanding disturbances using real time PMU data is introduced and tested. The proposed method is composed of an intelligent decision tree algorithm for islanding detection and identification with the aid of an islanding database made of islanding simulations, real world islanding records, and system geographical/topology information. The practical utilization adopting this method in the Dominion Virginia Power system and the functional module design are also introduced.
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