Contactless voltage and current estimation using signal processing and machine learning

This thesis describes a contactless sensor developed to estimate the line currents and line-to-line voltages of a multi-phase cable in the presence of significant external disturbances. The current estimates are derived from an array of point magnetic-field measurements processed by a linear least-square-error estimator. The gains in the estimator are chosen using a probabilistic model of measurement errors created by external magnetic field sources. Test bed validation of the estimates demonstrates estimation errors below 1% even in the presence of nearby cables carrying comparable currents, metal plates that could support eddy currents, and large magnetizable cores. The voltage estimates are derived using actively-guarded electrodes that capacitively couple to the cable conductors. Knowing the coupling capacitance, test bed validation of the estimates again demonstrates estimation errors below 1% even in the presence of nearby cables carrying comparable voltages, and metal plates. A method involving capacitively coupling signals onto the cables is also proposed and demonstrated to determine the coupling capacitance without operator intervention.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Casallas, Alan(Alan E.)

Advisor dc:contributor.advisor

• Jeffrey Lang.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/124235

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/124235