ANALISIS VEKTOR PADA ALAT PENGUKUR DAN PEMBATAS (APP) 3 PHASA DI PLN UP3 MOJOKERTO
DOI:
https://doi.org/10.69714/habpy378Keywords:
Metering and Limiting Equipment, Vector analysis, Automatic Meter ReadingAbstract
The high level of electrical energy consumption in the UP3 Mojokerto area has become a significant concern for PT PLN (Persero) UP3 Mojokerto, particularly due to the risk of inaccuracies at transaction points (kWh meters) that may lead to increased energy losses. PT PLN (Persero) seeks to prevent measurement errors or misuse of electrical energy at the Metering and Limiting Equipment (Alat Pengukur dan Pembatas/APP), which could result in financial losses for both the utility company and customers. This study aims to minimize such measurement errors and potential irregularities through vector analysis of APP installed on three-phase customers, using a quantitative research approach. The analysis is supported by vector diagrams and instantaneous data obtained from the Automatic Meter Reading (AMR) application. The results indicate that vector analysis combined with AMR data enables PT PLN (Persero) to detect measurement anomalies in APP at an early stage. Consequently, this approach contributes to reducing potential losses and improving fairness and accuracy in energy transactions for both PT PLN (Persero) and its customers.
References
U. Wiharja and A. K. Albahar, “Analisa Deteksi Ketidaknormalan Meter Elektronik dengan Sistem Automatic Meter Reading,” Prosiding Semnastek, Universitas Muhammadiyah Jakarta, 2018.
R. Sefrinalfi, R. Rauf, and Y. Ridal, “Penjualan dan Penurunan Susut Energi Distribusi Menggunakan Automatic Meter Reading pada Pelanggan 3 Phasa di PT PLN (Persero) UP3 Muara Bungo,” Jurnal MESIL, vol. 6, no. 1.
R. Rifqy, “Analisis Pemasangan Automatic Meter Reading sebagai Pendeteksi Kelainan APP Pelanggan PT PLN (Persero)”, Rekayasa Elektrikal dan Energi (RELE): Jurnal Teknik Elektro, vol. 8, no. 1, pp. [PDF], 2022.
F. Kurniati, W. Sunanda, dan M. Jumnahdi, “Analisis Pemakaian Energi Pelanggan Daya Di Atas 41.500 VA Dengan Menggunakan Automatic Meter Reading (AMR) PLN Area Bangka,” Jurnal Teknik Elektro, Universitas Bangka Belitung, 2017.
R. Hariyati, “Analisa Pembacaan Meter Otomatis Listrik Dengan Menggunakan Jaringan Komunikasi,” Jurnal Teknologi Informasi dan Komunikasi, 2016.
V. C. Gungor et al., “Smart Grid Technologies: Communication Technologies and Standards,” IEEE Transactions on Industrial Informatics, vol. 7, no. 4, pp. 529–539, Nov. 2011.
S. S. S. R. Depuru, L. Wang, and V. Devabhaktuni, “Electricity Theft: Overview, Issues, Prevention and a Smart Meter Based Approach to Control Theft,” Energy Policy, vol. 39, no. 2, pp. 1007–1015, 2011.
IEEE Std 1459-2010, IEEE Standard Definitions for the Measurement of Electric Power Quantities under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions, IEEE Power & Energy Society, 2010. https://standards.ieee.org/standard/1459-2010.html.
E. N. Guna and U. Umar, “Analisis Pemakaian Listrik Pelanggan Menggunakan Sistem Automatic Meter Reading (AMR) di PT. PLN (Persero) ULP Klaten Kota,” Simposium Nasional RAPI XX, 2021.
V. C. Gungor et al., “Smart Grid Technologies: Communication Technologies and Standards,” IEEE Communications Surveys & Tutorials, vol. 15, no. 1, pp. 529–539, 2013.
S. S. Depuru, L. Wang, and V. Devabhaktuni, “Smart Meters for Power Grid: Challenges, Issues, Advantages and Status,” Renewable and Sustainable Energy Reviews, vol. 15, no. 6, pp. 2736–2742, 2011.
R. Hariyati, “Analisa Pembacaan Meter Otomatis Listrik dengan Menggunakan Jaringan Komunikasi,” Jurnal Teknik Elektro, 2015.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Jurnal Riset Sistem Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
