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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Detecting and Locating Non-Technical Losses in Modern Distribution Networks

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Author(s):
Leite, Jonatas Boas [1] ; Sanches Mantovani, Jose Roberto [1]
Total Authors: 2
Affiliation:
[1] UNESP, FEIS, Elect Engn Dept, BR-15385000 Ilha Solteira - Brazil
Total Affiliations: 1
Document type: Journal article
Source: IEEE TRANSACTIONS ON SMART GRID; v. 9, n. 2, p. 1023-1032, MAR 2018.
Web of Science Citations: 15
Abstract

The recent addition of information and communication technologies in electric power distribution systems has introduced a new class of electricity theft or nontechnical loss. Energy consumption data can be hidden and altered through cyber-attacks that are characterized by the unauthorized access to the application database and digital tampering of smart meters. The development of cost-efficient algorithms to address these types of nontechnical losses also targets the reduction of commercial losses because the full protection of an information system is very expensive. Thus, this paper proposes a strategy to detect nontechnical losses using a multivariate control chart that establishes a reliable region for monitoring the measured variance. After the detection of nontechnical losses, a pathfinding procedure based on the A-Star algorithm is able to locate the consumption point with the non-technical loss. Moreover, a geographical information system application displays the consumption point that is the target of the cyber-attack. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for monitoring a real distribution network. (AU)

FAPESP's process: 14/22377-1 - Development Proposal of the Self-Healing Technique on Smart Grid using a Multi-Agent System
Grantee:Jonatas Boas Leite
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 13/23590-8 - Development of a distribution energy management system simulator for Smart Grids
Grantee:José Roberto Sanches Mantovani
Support type: Regular Research Grants