| Title |
A Process and Algorithmic Approach for Reducing Non-Technical Loss Using AMI Data in Smart Metering Systems |
| Authors |
박용성(Young-Sung Park) ; 안선주(Seon-Ju Ahn) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.9.1492 |
| Keywords |
AMI; Non-Technical Losses; Metering error diagnosis process; Safety |
| Abstract |
Metering error is the major cause of non-technical loss in the power grid. To reduce metering error, utilities must effectively identify its cause, particularly among high-voltage customers. To this end, KEPCO has been conducting on-site inspections known as the Hot-line MOF Error Test. However, this Test presented several challenges, including worker safety risk, long inspection time, and lower accuracy under certain load conditions. To overcome these limitations, this study proposes an algorithm that analyzes the data from AMI(Advanced Metering Infrastructure), to help a utility shortlist the customers whose equipment are likely to be faulty. By doing so, a utility will be able to allocate its resources more efficiently, making the overall process of detecting metering error more efficiently. To validate the proposed algorithm, on-site inspections were conducted, and results therefrom were studied to determine the effectiveness of the proposed algorithm. |