Selection of Measurements in Topology Estimation with Mutual Information

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Krstulovic, J (Author) Other; Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: 2014 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON 2014)

Pages: 589-596

IEEE International Energy Conference (ENERGYCON)

Dubrovnik, CROATIA, MAY 13-16, 2014

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Other information

Authenticus ID: P-009-Q3Z

DOI: 10.1109/energycon.2014.6850486

Abstract (EN): This paper discusses mechanisms for establishing an efficient decentralized methodology for the reconstruction of topology in power systems. The maximum mutual information criterion is proposed as a selection criterion for the inputs of a distributed topology estimator, based on mosaic of local auto-associative neural networks. The proposed concepts offer some strong theoretical support for an information theoretic perspective on power system state estimation. The results are confirmed by extensive tests conducted on the IEEE RTS 24-bus system.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8