Integration of a Smart Power Meter for Monitoring Household Energy Consumption in Prepaid Electrical Systems

Authors

  • Indah Permatasari Physics and Instrumentation Laboratory, Faculty of Telecommunications and Electrical Engineering, Institut Teknologi Telkom Purwokerto, Indonesia, 53163. , Indonesia
  • Danny Kurnianto Faculty of Telecommunications and Electrical Engineering, Institut Teknologi Telkom Purwokerto, Indonesia, 53163, Indonesia

DOI:

https://doi.org/10.25077/jif.16.2.118-130.2024

Keywords:

Prepaid Electricity, Electric Credit Balance, Smart Power Meter, Households, PLN Meter

Abstract

Indonesian households have widely embraced the prepaid electricity payment system. The system relies on electricity credits, with each electrical device consuming credits as a unit of measurement for energy usage. A common issue is the automatic cutoff of electricity supply when the credits are depleted. This research designed a smart power meter using Current Transformer and voltage sensors. The electrical token value is then stored in the Arduino's EEPROM before being transmitted to the NodeMCU. The NodeMCU transfers the data to Antares using the MQTT protocol to forward it to the subscriber, typically an Android device. The data sent to the Android application includes current, voltage, active power, frequency, cos φ, and electrical credits. The measurement of electricity consumption on a kWh meter involves subtracting the value of the input electricity token from the device-measured electricity usage. The device sends a WhatsApp message when the remaining credit exceeds 10 kWh. The prototype of the smart power meter demonstrates practical functionality, with the current sensor accuracy at 99.983% and the voltage sensor accuracy at 99.999%. The largest measurement difference of the electric credit balance between the PLN Meter and the prototype is 0.04 kWh over a test period of 72 hours.

Downloads

Download data is not yet available.

References

Aditio Pribadi, R., & Syafii, S. (2021). Overview of Electrical Energy Planning in West Sumatera. Andalasian International Journal of Applied Science, Engineering and Technology, 1(1), 41–46. https://doi.org/10.25077/aijaset.v1i1.7 DOI: https://doi.org/10.25077/aijaset.v1i1.7

Akpolat, A. N., Dursun, E., Akpolat, A. N., & Dursun, E. (2017). Advanced Metering Infrastructure (AMI): Smart Meters and New Technologies. 8th International Advanced Technologies Symposium (IATS’17), 19–21. https://www.researchgate.net/publication/332111353

Devi, P., Istianti, D., Yudo Prawiro, S., Bogi, N., Karna, A., & Nursafa, I. A. (2019). Analisis Performansi Teknologi Akses LPWAN LoRa Antares Untuk Komunikasi Data End Node. The 11th National Conference on Information Technology and Electrical Engineering, 22–26.

Ford, R., Pritoni, M., Sanguinetti, A., & Karlin, B. (2017). Categories and functionality of smart home technology for energy management. Building and Environment, 123, 543–554. https://doi.org/10.1016/j.buildenv.2017.07.020 DOI: https://doi.org/10.1016/j.buildenv.2017.07.020

Foster, A. (2015). Messaging Technologies for the Industrial Internet and the Internet of Things Whitepaper. PrismTech. https://www.rfidjournal.com/wp-content/uploads/2020/01/498.pdf

Galina, M., Ramadhani, M. W., & Simatupang, J. W. (2019). Prototype of Postpaid Electricity and Water Usage Monitoring System. ICSECC 2019 - International Conference on Sustainable Engineering and Creative Computing: New Idea, New Innovation, Proceedings, 304–308. https://doi.org/10.1109/ICSECC.2019.8907095 DOI: https://doi.org/10.1109/ICSECC.2019.8907095

Hartawan, H., Karim, S. A., & Hasrul, H. (2023). A Study on The Evalution of User Satisfaction with Prepaid and Postpaid Electricity Services in Bima City. Journal of Electrical Engineering & Informatics , 1(1), 1–5. https://doi.org/10.59562/jeeni.v1i1.423 DOI: https://doi.org/10.59562/jeeni.v1i1.423

Irianto, K. D. (2023). Pre-SEMMS: A Design of Prepaid Smart Energy Meter Monitoring System for Household Uses Based on Internet of Things. Journal of Electronics, Electromedical Engineering, and Medical Informatics, 5(2), 69–74. https://doi.org/10.35882/jeemi.v5i2.282 DOI: https://doi.org/10.35882/jeeemi.v5i2.282

Karim, K., Tajibu, M. J., & Akhmad, A. (2021). Determination of consumer switching barriers to use prepaid electricity systems in the household sector in makassar, indonesia. International Journal of Energy Economics and Policy, 11(1), 193–199. https://doi.org/10.32479/ijeep.10237 DOI: https://doi.org/10.32479/ijeep.10237

Kurniawan, P. H., & Siringoringo, R. (2019). Prepaid Electricity Program: Making it Easier or Causing Households Problems (An Approach to Increase Customer Trust). 2nd Padang International Conference on Education, Economics, Business and Accounting , 64(March), 962–970. https://doi.org/10.2991/piceeba2-18.2019.88 DOI: https://doi.org/10.2991/piceeba2-18.2019.88

Naik, N. (2017). Choice of Effective Messaging Protocols for IoT Systems: MQTT, CoAP, AMQP and HTTP. International Symposium on Systems Engineering, 1–7. DOI: https://doi.org/10.1109/SysEng.2017.8088251

Outeirino, F. J. B., & Garcia, E. J. P. (2017). M2M Home Data Interoperable Management System Based on MQTT. 7th International Conference on Consumer Electronics, 200–202.

Pakpahan, S. M., Hakim, A., Fefta Wijaya, A., & Noor, I. (2015). The Effect of Human Resource Capacity towards Performance of Electrical Energy Policy and Its Impact on Outcomes of Electrical Energy Policy Based on Regionalization in Indonesia. 5(12). www.iiste.org

Rajdhev, M., & David, D. S. (2017). Internet of Things for Health Care. International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT |, 2(2), 800–805. www.ijsrcseit.com

Rustemli, S., & Ates, M. (2012). Measurement and Simulation of Power Factor using PIC16F877. PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), 88(6), 290–294.

Saputra, D. I., Najmurrokhman, A., & Fakhri, Z. (2019). Skema Implementasi Fuzzy Inference System Tipe Sugeno Sebagai Algoritma Pengendali Pada Sistem Pengamatan Berbasis IoT. Seminar Nasional Sains Dan Teknologi 2019, 16, 1–12.

Sekretariat PLN. (2022). Statistik PLN 2022. Sekretariat Perusahaan PT PLN (Persero). www.pln.co.id

Sulaiman, A. P. E., Jumaat, S. A., Ishak, M., Chulan, A., & Saiman, S. (2007). A Study on Electric Energy Usage at The Residental Area. 1st Engineering Conference on Energy & Environment.

Sultan, Z., Jiang, Y., Malik, A., & Faiz Ahmed, S. (2019). GSM based Smart Wireless Controlled Digital Energy Meter. 6th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 6–11. https://doi.org/10.1109/ICETAS48360.2019.9117479 DOI: https://doi.org/10.1109/ICETAS48360.2019.9117479

Tahir, Z. M., Tahir, T., Arfan, T., Asim, A., Fahad, M., & Rauf, S. (2023). Design and Implementation of Prepaid Energy Meter with Home Automation and Peak Load Management Using Android Application. 23. https://doi.org/10.3390/engproc2023046023 DOI: https://doi.org/10.3390/engproc2023046023

Tsakiridis, N. L., Diamantopoulos, T., Symeonidis, A. L., Theocharis, J. B., Iossifides, A., Chatzimisios, P., Pratos, G., & Kouvas, D. (2020). Versatile Internet of Things for Agriculture: An eXplainable AI Approach. IFIP Advances in Information and Communication Technology, 584 IFIP, 180–191. https://doi.org/10.1007/978-3-030-49186-4_16 DOI: https://doi.org/10.1007/978-3-030-49186-4_16

Downloads

Published

2024-07-10

How to Cite

Permatasari, I., & Kurnianto, D. (2024). Integration of a Smart Power Meter for Monitoring Household Energy Consumption in Prepaid Electrical Systems. JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS, 16(2), 118–130. https://doi.org/10.25077/jif.16.2.118-130.2024

Issue

Section

Research Article

Citation Check