@inproceedings{c16562036f2d42bba6ee7c03bf450f46,
title = "Real time electricity theft detection in microgrids through wireless sensor networks",
abstract = "A microgrid (MG) is potentially vulnerable to electricity theft when it operates in three different modes. In this paper a wireless sensor network (WSN), comprised of purpose built resistive temperature sensor (RTS) nodes, is used in an MG distribution network to measure the line resistance, in order to identify illegitimate user(s) in real time. The changing resistance of a copper wire with the changing temperature in the sensing unit of an RTS node determines the real time resistance, which is then compared with the line resistance estimated through singular value decomposition at the sink node. In our experiments, it detects non-technical losses or theft in real time with 100% accuracy without knowing the exact topology of the distribution network.",
keywords = "RTS, Theft detection, microgrid, smart grids",
author = "Muhammad Tariq and Poor, {H. Vincent}",
note = "Funding Information: This research was supported in part by the U.S. Army Research Office under MURI Grant W911NF-11-1-0036, in part by the U. S. National Science Foundation under Grant CMMI-1435778 and in part by the Fulbright Program of the Bureau of Educational and Cultural Affairs (ECA) of the U.S. Department of State under Grant ID-68151032 Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th IEEE Sensors Conference, SENSORS 2016 ; Conference date: 30-10-2016 Through 02-11-2016",
year = "2017",
month = jan,
day = "5",
doi = "10.1109/ICSENS.2016.7808729",
language = "English (US)",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Sensors, SENSORS 2016 - Proceedings",
address = "United States",
}