Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/94785| Author(s): | Jakov Krstulovic Vladimiro Miranda António J. A. Simões Costa Jorge Pereira |
| Title: | Towards an auto-associative topology state estimator |
| Issue Date: | 2013 |
| Abstract: | This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network. |
| Subject: | Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.1109/tpwrs.2012.2236656 |
| URI: | https://hdl.handle.net/10216/94785 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | restrictedAccess |
| Appears in Collections: | FEP - Artigo em Revista Científica Internacional FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 95697.pdf Restricted Access | 1.14 MB | Adobe PDF | View/Open |
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