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Sensor Selection via Convex Optimization in Remote Contact-free Measurement of Currents
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0002-9665-8557
KTH, Superseded Departments (pre-2005), Electrical Systems. KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. KTH, School of Electrical Engineering (EES), Centres, Alfvén Laboratory Centre for Space and Fusion Plasma Physics.ORCID iD: 0000-0001-9241-8030
2017 (English)In: 2017 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM - ITALY (ACES), IEEE , 2017Conference paper (Refereed)
Abstract [en]

The sensor positions have substantial effect on the accuracy of remote contact-free reconstruction of currents in power transmission lines from magnetic field data, measured by a set of sensors located under the conductors. By maximizing a performance metric, based on the Fisher information matrix, Nopt sensors are selected from N candidate sensors. The main optimization problem is changed to a convex optimization problem using a relaxation of the integer constraints. The result for optimized sensor positions for a remote current reconstruction in power transmission lines using a planar sensor array is demonstrated.

Place, publisher, year, edition, pages
IEEE , 2017.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-214908ISI: 000408977800140Scopus ID: 2-s2.0-85020042728ISBN: 978-0-9960078-3-2 OAI: oai:DiVA.org:kth-214908DiVA: diva2:1150992
Conference
International Applied-Computational-Electromagnetics-Society Symposium - Italy (ACES), MAR 26-30, 2017, Firenze, ITALY
Note

QC 20171020

Available from: 2017-10-20 Created: 2017-10-20 Last updated: 2017-10-20Bibliographically approved

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Scopushttp://www.aces-society.org/

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Ghasemifard, FatemehNorgren, Martin

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CiteExportLink to record
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