Communication networks and non-technical energy loss control system for smart grid networks

Rengaraju, Perumalraja; Pandian, S.R.; Lung, Chung-Horng

doi:10.1109/isgt-asia.2014.6873828

Cited by 14 publications

(9 citation statements)

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“…In Smart Grid, monitoring is still a good choice to deal with bypassing and other types of physical tampering. In the paper [19], video surveillance by drones is used to analyze the suspected segments in the feeder line, and a control center is employed to identify NTL frauds and notify the nearest vigilance staff. Some research focuses on designing secure modules installed along each smart meter.…”

Section: Related Workmentioning

confidence: 99%

“…To combat NTL frauds, many schemes have been proposed including intrusion detection based methods [13]- [16], industrial control based methods [17], [18], physical methods [19]- [22], profiling based methods [23], [24], statistical methods [25], [26] and comparison based methods [3], [11], [27]- [30]. These schemes can detect NTL frauds and identify the tampered meters, but they cannot detect CNTL frauds since these methods do not consider the co-existing or collaborating fraudsters, and therefore cannot distinguish one from many fraudsters.…”

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confidence: 99%

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A novel detector to detect colluded non-technical loss frauds in smart grid

Han

Xiao

2017

Computer Networks

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A Non-Technical Loss (NTL) fraud occurs when a fraudster tampers with a smart meter so that the meter registers less electricity consumption than the actual consumed amount, and therefore the utility becomes the victim who suffers the corresponding economic loss. In the literature, many detection schemes have been proposed to detect NTL frauds. However, some NTL frauds are far more complicated than what the existing schemes expect. We recently discovered a new potential type of frauds, a variant of NTL frauds, called Colluded Non-Technical Loss (CNTL) frauds in the Smart Grid. In a CNTL fraud, multiple fraudsters can co-exist or collaborate to commit the fraud. Existing detection schemes cannot detect CNTL frauds since these methods do not consider the co-existing or collaborating fraudsters, and therefore cannot distinguish one from many fraudsters. In this paper, we propose a CNTL fraud detector to detect CNTL frauds. The proposed method can quickly detect a tampered meter based on recursive least squares. After identifying the tampered meter, the proposed scheme can detect different fraudsters using mathematical models. Our experiments show that our method is effective in detecting CNTL frauds.

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Section: Related Workmentioning

confidence: 99%

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confidence: 99%

A novel detector to detect colluded non-technical loss frauds in smart grid

Han

Xiao

2017

Computer Networks

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“…The utility developed a series of physical methods to deal with it including video surveillance, sensor monitoring, human inspection, etc. These methods are still employed in Smart Grid . The paper proposes a hybrid method of employing various physical methods including a sensor monitoring system, a video surveillance system, a control system, and an actuator system.…”

Section: Related Workmentioning

confidence: 99%

“…These methods are still employed in Smart Grid . The paper proposes a hybrid method of employing various physical methods including a sensor monitoring system, a video surveillance system, a control system, and an actuator system. Cameras equipped in drones are used to monitor power lines and report any abnormality.…”

Section: Related Workmentioning

confidence: 99%

Design a fast Non‐Technical Loss fraud detector for smart grid

Han

Xiao

2016

Security Comm Networks

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Non‐Technical Loss (NTL) fraud is a class of typical frauds in the power grids. The main form of NTL frauds is “stealing electricity” in the traditional power grid. Smart Grid has the capability of two‐way communication and two‐way electricity flow, and thus, adversaries can take advantage of it to commit NTL frauds via much more complicated ways. Many schemes have been proposed to detect NTL frauds. However, their detection speeds need to be improved. In this paper, a fast NTL fraud detector, named FNFD, is proposed. FNFD is based on Recursive Least Square to model adversary behavior. Experimental results show that FNFD outperforms existing schemes regarding detection speed and overhead. Moreover, experimental results and theoretical analysis of parameter selection are also provided. We further study the stability and convergence of FNFD theoretically. The study shows that FNFD is always convergent as a control method if and only if the input dataset is persistent exciting. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Existing schemes to deal with NTL frauds can be categorized as physical methods, intrusion-detection based methods, user behavior analysis, statistic methods and comparisonbased methods. Physical methods [6], [7] are expensive and inefficient. Intrusion-detection based methods [8]- [13] can only analyze traffic and are not designed specially for NTL frauds.…”

Section: Introductionmentioning

confidence: 99%

NFD: Non-technical loss fraud detection in Smart Grid

Han¹,

Xiao²

2017

Computers & Security

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Utility companies consistently suffer from the harassing of Non-Technical Loss (NTL) frauds globally. In the traditional power grid, electricity theft is the main form of NTL frauds. In Smart Grid, smart meters thwart electricity theft in some ways but cause more problems, e.g., intrusions, hacking, and malicious manipulation. Various detectors have been proposed to detect NTL frauds, but they either rely on user behavior analysis which requires a large amount of historical data or needs a lot of extra devices which are expensive. In this paper, a detector, named NFD (NTL Fraud Detection), is proposed to detect NTL frauds with only a small amount of data and one additional device. NFD is based on Lagrange polynomial interpolation to model an adversary's behaviors, and detect a tampered meter by comparing the difference between the results. Different from existing detectors, our detector knows adversaries better than adversaries themselves. By building mathematical models of these adversaries, we can predict their behaviors which they may not be aware of by themselves. NFD makes it practical to detect NTL frauds both online and offline in Smart Grid. NFD can facilitate real-world applications before Smart Grid is fully deployed since it can serve the traditional power grid and Smart Grid simultaneously. Experimental results show the effectiveness of NFD. It can detect multiple tampered meters and multiple adversaries, as well as a single tampered meter and a single adversary. We also study how to tune the parameters used in NFD to further guide its practical usage.

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Communication networks and non-technical energy loss control system for smart grid networks

Cited by 14 publications

References 9 publications

A novel detector to detect colluded non-technical loss frauds in smart grid

A novel detector to detect colluded non-technical loss frauds in smart grid

Design a fast Non‐Technical Loss fraud detector for smart grid

NFD: Non-technical loss fraud detection in Smart Grid

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