Score Based Non-Technical Loss Detection Algorithm for Electricity Distribution Networks

Date

2017-04-21

Author

Terciyanli, Erman
Eryigit, Emre
Emre, Tamer
Caliskan, Sevil

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper proposes a score based computational technique for the detection of non-technical losses in electricity distribution networks. The methodology is comprised of three steps. In the first one, a score is assigned to each meter number considering the area that customers live. In second step, a Cmeans-based fuzzy clustering is applied to find consumers with similar consumption profiles. Then, a fuzzy classification is performed with fuzzy membership matrices. Afterwards, the Euclidean distances between membership matrices are calculated and normalized, yielding an index score. In third one, expected consumption values of each customer are calculated with installed power values and compared with real usage values. The differences are used as another score. Using all scores, a final score has been formed for each consumer, to be used to detect potential fraudsters. The approach was tested and validated on a real dataset, showing good performance in tasks of abnormal usage detection.

Subject Keywords

Electricity theft, Fuzzy clustering, Nontechnical losses

URI

https://hdl.handle.net/11511/67733

Conference Name

5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Terciyanli, E. Eryigit, T. Emre, and S. Caliskan, “Score Based Non-Technical Loss Detection Algorithm for Electricity Distribution Networks,” Istanbul, TURKEY, 2017, p. 180, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67733.