Towards an auto-associative topology state estimator

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Jakov Krstulovic (Author) Other; Vladimiro Miranda (Author) FEUP; António J. A. Simões Costa (Author) Other; Jorge Pereira (Author) FEP

Journal

Title: IEEE Transactions on Power Systems

Vol. 28 No. 3

Pages: 3311-3318

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 26 Citations

ISI Web of Science

Scopus - 28 Citations

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-006-8JP

DOI: 10.1109/tpwrs.2012.2236656

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8