In recent years, the signiﱂcant increase in number of connections to photo- voltaic installations in the public networks has caused greater risks. Meth- ods involving in detecting situations such as islanding, damage on the trans- port network, and normal situations without special event arise have been exploited, however, each method has its disavantages. In this work, by using the statistical and signal processing tools, we can consider and appre- ciate the change of data of the simulated model. Then we apply the CART algorithm to classify the above phenomena.
