Fuzzy-based Orthogonal Decomposition approach for fault diagnoses in distribution feeders of Smart Cities

Abstract

Smart Cities are the new goal for Smart Grid applications. In this context it can highlighted several researches introducing modern concepts of projecting, modelling, and simulating. This paper presents a new approach for fault diagnoses in distribution feeders inserted into a Smart City. The ability to handle load variations, several kind of permanent or temporary faults and non-linearities are performed by a hybrid combination of Fuzzy Systems and Orthogonal Decomposition. Results are shown to validate the approach.