Detection for Non-Technical Loss by Smart Energy Theft With Intermediate Monitor Meter in Smart Grid

Jin Young Kim; Yu Min Hwang; Young Ghyu Sun; Isaac Sim; Dong In Kim; Xianbin Wang

doi:10.1109/ACCESS.2019.2940443

IEEE Access (Jan 2019)

Detection for Non-Technical Loss by Smart Energy Theft With Intermediate Monitor Meter in Smart Grid

Jin Young Kim,
Yu Min Hwang,
Young Ghyu Sun,
Isaac Sim,
Dong In Kim,
Xianbin Wang

Affiliations

Jin Young Kim: Department of Wireless Communication Engineering, Kwangwoon University, Seoul, South Korea
Yu Min Hwang: ORCiD; Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada
Young Ghyu Sun: Department of Wireless Communication Engineering, Kwangwoon University, Seoul, South Korea
Isaac Sim: ORCiD; Department of Wireless Communication Engineering, Kwangwoon University, Seoul, South Korea
Dong In Kim: ORCiD; School of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea
Xianbin Wang: Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada

DOI: https://doi.org/10.1109/ACCESS.2019.2940443
Journal volume & issue: Vol. 7
pp. 129043 – 129053

Abstract

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In this paper, to detect non-technical loss (NTL) of meter manipulating/malfunctioning and bypassing at the same time, we propose the intermediate monitor meter (IMM)-based power distribution network model with the concept of unit networks (UNs) dividing the network into smallest and independent networks to analyze the power flow in detail and effectively detect the NTL. We then propose an NTL detection algorithm to solve linear system of equations (LSE) constructed by energy balance analysis with IMMs and the collector, and describe the hardware architecture of IMMs. Simulation results show that the proposed NTL detection algorithm successively detects the honesty of energy consumers as well as the energy loss from bypassing. Furthermore, it is observed the proposed detection framework is time-efficient and detection accuracy is at least 95% when variability of meter reading value is 80%.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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