Nonlinear filtering for Power Quality disturbances analysis

Abstract

In this work, a new method for PQ analysis is proposed based on the use of neural processing aiming to decouple the information from different disturbances from the power system signal. The system was implemented and tested using a simulated database showing the good performance of the proposed technique for signal separation. It was shown that the proposed method could also be used as a preprocessing technique for PQ monitoring systems.