Impact of the Advanced Metering Infrastructure (AMI) Program on Non-Technical Losses at Distribution System

David Daniel Christianto Sinurat, Faiz Husnayain

Abstract


The implementation of Advanced Metering Infrastructure (AMI) is a strategic initiative by PT PLN (Persero) UP3 Bandengan to support digital transformation and enhance efficiency in the electricity distribution system, particularly in reducing non-technical Losses. This study aims to evaluate the impact of AMI implementation on improving meter reading accuracy, managing customer arrears, and detecting electricity misuse. The deployed AMI system includes 142,083 single-phase and 10,278 three-phase smart meters, with connectivity rates to the Meter Data Management System (MDMS) reaching 99.36% and 99.60%, respectively. A total of 1,190 Data Concentrator Units (DCUs) have been installed to enable automatic meter reading, achieving a success rate of 96.65%. Remote disconnection and reconnection processes via MDMS recorded success rates of 97.14% and 98.65%, respectively, while anomaly current detection—used as an indicator of energy misuse—achieved an effectiveness rate of 23.87%. The findings show that AMI implementation resulted in operational cost savings of IDR 245,792,276 in manual meter reading and IDR 7,807,696,000 in arrears-related disconnections. These results highlight the significant contribution of AMI in promoting a transparent, efficient, and reliable electricity distribution system.

Full Text:

PDF

References


PT PLN (Persero), SPLN D3.007:2021, Jakarta: PLN, 2021.

A. Mezban, A. Amer, K. Yahya, A. Hafez, M. Aldababsa and A. Yahya, Analysis of Electrical Power Losses in Low-Voltage Distribution Networks: A study of technical and non technical losses, Proc 2023 nd Int. Eng. Conf. on Electrical Energy and Artificial Intelligence (EICEEAI), 2023, pp. 1-8.

A. Munandar, D. Denis and Y. Soetrisno, Impelementasi Advanced Metering Infrastructure (AMI), vol. 2 (4), Jurnal Profesi Insinyur Indonesia (JPII), 2024, pp. 212-222.

I. Jha, S. Sen and S. Agarwal, Advanced metering infrastructure analytics—A case study, Proc. IEEE, 2014.

PT PLN (Persero), SPLN D5.002:2024, Jakarta: PLN, 2024.

PT PLN (Persero), SPLN D3.036:2021, Jakarta: PLN, 2021.

PT PLN (Persero), SPLN D3.007:2021+SUP-1:2022+SUP-2:2023, Jakarta: PLN, 2023

PT PLN (Persero), SPLN D3.036:2021/SUP-1:2023, Jakarta: PLN, 2023.

M. Wozali, U. dan P. , Analisis Susut Energi Listrik Non-Teknis pada kWh Meter Prabayar di ULP Palopo Kota, vol. 20, Jurnal Teknologi Elekterika, 2023.

E. Agustina and A. Amalia, Penurunan Susut Non-Teknis pada Jaringan Distribusi Menggunakan Sistem AMR di PT PLN (Persero),”, vol. 5, no. 4, 2016., vol. 5, Jurnal Teknik Mesin, 2016.

PT PLN (Persero), Peraturan DIreksi No. 0021.P/DIR/2018 tentang Pedoman Teknis Penerapan Formulasi Susut Jaringan Tenaga Listrik, Jakarta, 2018.

PT PLN (Persero), Peraturan Direksi No. 0028.P/DIR/2023 Tentang Penertiban Pemakaian Tenaga LIstrik, Jakarta, 2023.

PT PLN (Perseo), Keputusan General Manager PT PLN (Persero) Unit Induk Distribusi Jaya No. 0005.K/GM/2020 Tentang Petunjuk Pelaksanaan Pemutusan Sementara, Penyambungan Kembali dan Pemutusan Rampung Pelanggan Prabayar dan Pascabayar, Jakarta, 2020.

G. Supriyadi, D. Nugraha and B. Dharma, Integrating existing pre-paid energy meter to Advanced Metering Infrastructure (AMI) system. In 2023 4th International Conference on High Voltage Engineering and Power Systems (ICHVEPS, IEEE, 2023, pp. 109-112.

Sugianto and P. Untara, Studi Susut Energi pada Sistem Distribusi Tenaga Listrik Melalui Analisis Pengukuran dan Perhitungan, Jurnal Sinusoidal, 2019.

D. Williams, Z. Li and A. Ghanavati, Mitigating electrical losses through a programmable smart energy advanced metering infrastructure system," in *Proceedings of the 2023 IEEE International Conference on Prognostics and Health Management (ICPHM), 2023, pp. 153-157.

K. Khavitakumari, P. Pravina and E. Amalapriya, Advance metering infrastructure for smart grid using GSM,” in Proc. 2017 Third Int. Conf. Science Technology Engineering & Management (ICONSTEM), Chennai, India, 2017, pp. 619-622.

M. H. Mederois, M. A. Sanz-Bobi, J. M. Domingp and D. Pichi, Network Oriented Approaches Using Smart Metering Data for Non-Technical Losses Detection, IEEE Madrid Power Tech, 2021.

R. M. R. Barros, E. G. da Costa and J. F. Araujo, Maximizing the Financial Return of Non-Technical Loss Management in Power Distribution Systems, vol. 37, IEEE Transaction on Power Systems, 2022.

J. Y. Kim et al., "Detection for Non-Technical Loss by Smart Energy Theft With Intermediate Monitor Meter in Smart Grid," IEEE Access, vol. 7, pp. 129043–129057, 2019, doi: 10.1109/ACCESS.2019.2940443.


Article Metrics

Abstract view : 0 times
PDF - 0 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License