| Title | Fuzzy-Based Orthogonal Decomposition Approach for Fault Diagnoses in Distribution Feeders of Smart Cities |
|---|---|
| ID_Doc | 40080 |
| Authors | Flauzino, R; da Silva, IN; Spatti, D; Silva, JFR; Lourenço, MA; Dantas, IRN |
| Title | Fuzzy-Based Orthogonal Decomposition Approach for Fault Diagnoses in Distribution Feeders of Smart Cities |
| Year | 2015 |
| Published | |
| 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. |
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