| 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 |
|
| DOI |
|
| 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. |
| Author Keywords |
Fault Identification; Fuzzy Systems; Smart Grid; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000398603600037 |
| WoS Category |
Energy & Fuels; Engineering, Electrical & Electronic |
| Research Area |
Energy & Fuels; Engineering |
| PDF |
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