Identification of Power Stripping Resources with Fuzzy Cluster Dynamic Approach (Case Study: West Azerbaijan Province)

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DABBAGH RAHIM; Melki mehrdad

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Paper Information

Journal: IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP) Year:2020 | Volume:8 | Issue:3 (17) Page(s): 78-87

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Information Journal Paper

Title

Identification of Power Stripping Resources with Fuzzy Cluster Dynamic Approach (Case Study: West Azerbaijan Province)

Author(s)

DABBAGH RAHIM | Melki mehrdad | Issue Writer Certificate

Keywords

SupplierQ1

Supply ChainQ1

DematelQ1

ANPQ1

Abstract

Reducing electric power theft is a significant part of the potential benefits of implementing the concept of smart grid. This paper proposes a data-based approach to identify locations with unusual electricity consumption. The new distance-based method classifies the new data as violator costumers, if their distance is long to the primary consumption data. The proposed algorithm determines the number of final clusters based on the number of initial clusters and a specific index. This method is based on the dynamic fuzzy clustering algorithm. The framework removes the defect of violator subscribers by mistake. In this article are studied regional and subscriber sections of Urmia city between 2000 and 2017 years and significantly more effective than other methods of uncontrolled learning and introduced as an efficient unsupervised developed method.

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