Detection and classification of power quality events by expert system using analytic hierarchy method

The classification of various power quality events during the integration of renewable energy sources were proposed in this article. This approach provides a data mining tool linear discrimination analysis for the feature extraction in the expert system where an analytical hierarchy process is used in the knowledge base with the various levels of power quality events. Based on the hierarchy levels the data were compared using the group data handling method and thus the power quality events were classified. To validate the results a real time sample data were used.