NFD: A practical scheme to detect non-technical loss fraud in smart grid

Han, Wenlin; Xiao, Yang

doi:10.1109/icc.2014.6883385

Cited by 37 publications

(23 citation statements)

References 26 publications

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“…In order to avoid placing sensors in all grid nodes and having an over-determined system, an algorithm that identifies the optimal nodes where sensors should be located is presented. Han et al in [18] propose a NTL Fraud Detection (NFD) method based solely on data obtained from SMs; no other information of the consumers is required. The criterion used to identify dishonest customers is the difference between the billed energy and the realized consumption.…”

Section: System State-based Methodsmentioning

confidence: 99%

Detection of Non-technical Losses in Smart Distribution Networks: A Review

Fragkioudaki

Cruz-Romero

Gómez-Expósito

et al. 2016

Advances in Intelligent Systems and Computing

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With the advent of smart grids, distribution utilities have initiated a large deployment of smart meters on the premises of the consumers. The enormous amount of data obtained from the consumers and communicated to the utility give new perspectives and possibilities for various analytics-based applications. In this paper the current smart metering-based energy-theft detection schemes are reviewed and discussed according to two main distinctive categories: A) system state-based, and B) artificial intelligence-based.

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Section: System State-based Methodsmentioning

confidence: 99%

Detection of Non-technical Losses in Smart Distribution Networks: A Review

Fragkioudaki

Cruz-Romero

Gómez-Expósito

et al. 2016

Advances in Intelligent Systems and Computing

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“…The queries are built to include studies of NTLs, especial having explicitly text about electricity theft or 115 fraud, the combination of the following terms is used to search in the titles and abstracts of studies in the databases:…”

Section: Search Termsmentioning

confidence: 99%

Solutions for detection of non-technical losses in the electricity grid: A review

Viegas

Esteves

Melício

et al. 2017

Renewable and Sustainable Energy Reviews

149

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This paper is a review of literature with an analysis on a selection of scientific studies for detection of non-technical losses. Non-technical losses occurring in the electric grid at level of transmission or of distribution have negative impact on economies, affecting utilities, paying consumers and states. The paper is concerned with the lines of research pursued, the main techniques used and the limitations on current solutions. Also, a typology for the categorization of solutions for detection of non-technical losses is proposed and the sources and possible attack/vulnerability points are identified. The selected literature covers a wide range of solutions associated with non-technical losses. Of the 103 selected studies, 6 are theoretical, 25 propose hardware solutions and 72 propose non-hardware solutions. Data based classification models and data from consumption with high resolution are respectively required in about 47% and 35% of the reported solutions. Available solutions cover a wide range of cases, with the main limitation found being the lack of an unified solution, which enables the detection of all kinds of non-technical losses.

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“…The outputs are the probabilities of occurrence of each one of the discrete states as discrete-time functions. It is an empirical method that focuses on the relationships among its variables, assuming the relationships of the past will remain in the near future, as per (2).…”

Section: Vulnerability To Ntls In the Futurementioning

confidence: 99%

“…The introduction of smart grids and smart meters may contribute to a significant reduction in such costs by eliminating some types of losses [2]. However, the development of such technological advances often progresses more slowly in developing countries (particularly those with high rates of NTLs).…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Estimation for Nontechnical Losses

Faria

Melo

Padilha‐Feltrin

2016

IEEE Trans. Power Delivery

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This paper presents a novel method for estimating the spatial distribution in geographical space of the nontechnical losses over time. The method progresses in two stages: in the first stage, a generalized additive model is used to generate a map of current loss probabilities. The second stage employs the Markov chain to generate a map that indicates possible future changes in loss probabilities. The method yields an assessment of the location of the non-technical losses now and in the future at the city subarea level, even indicating the variables that have greater statistical correlation with the non-technical losses. We apply the method to a city with approximately 81,000 consumers and the results are compared with those obtained through inspections carried out by a Brazilian power utility. The detection rate surpasses 78% in inspected subareas. The method we propose offers improved estimation of distribution of the non-technical losses in urban regions. Index Terms -Electricity theft, generalized additive models, non-technical losses, spatial point pattern analysis.0885-8977 (c) . His main fields of insterest are analysis and control of electrical power systems.

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NFD: A practical scheme to detect non-technical loss fraud in smart grid

Cited by 37 publications

References 26 publications

Detection of Non-technical Losses in Smart Distribution Networks: A Review

Detection of Non-technical Losses in Smart Distribution Networks: A Review

Solutions for detection of non-technical losses in the electricity grid: A review

Spatial-Temporal Estimation for Nontechnical Losses

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