Design and Construction of a Smart Energy Theft Detector on Distribution Lines-Reference-Cited by-同舟云学术

Design and Construction of a Smart Energy Theft Detector on Distribution Lines

Published:2024-07-08 Issue:6 Volume:13 Page:31-36
ISSN:2278-2540
Container-title:International Journal of Latest Technology in Engineering Management & Applied Science
language:
Short-container-title:IJLTEMAS

Author:

Sylvester Emeka Abonyi ,Emmanuel Chinagorom Nwadike ,Anthonia Ekene Ilechukwu ,James Akarali Obineche

Abstract

This work presents the design and construction of a smart energy theft detector on distribution lines. The escalating challenge of power theft within distribution lines necessitates innovative solutions to safeguard the integrity of power distribution networks. Atmega328-P, Arduino-uno Micro-processor was interphase with Bluetooth module to detect energy theft. Proteus professional software was deployed to determine the functionality of the smart energy theft detector. The work was tested and the result obtained showed a stand-alone system capable of detecting energy theft on different phases of the distribution network. The information sent to the utility operator’s liquid crystal display (LCD) indicates theft detected on either red, blue or yellow phase.

Publisher

RSIS International

Reference18 articles.

1. A. Abdulateef, Salami, Musse, Aibinu and Onakoya, "Electricity Theft Prediction In Low Voltage Distriution System Using Autoregress Technique," IJRET, vol. VIII, no. 4, pp. 250-254, 2012.

2. A. Abdulateef, Salami, Musse, Aibinu and Onakoya, "Electricity Theft Prediction In Low Voltage Distriution System Using Autoregress Technique," IJRET, vol. VIII, no. 4, pp. 250-254, 2012.

3. F. Dahunsi, O. Olakunle and A. Melodi, "Evolution Of Electricity Metering technologies In Nigeria," NJTD, vol. XVIII, no. 2, 2021.

4. I. Akwuniuwu, D. Okolo and R. Okonigene, "Automated Electricity Power Metering," in Wireless Networks, 2018.

5. D. Mhaske, R. Satam, S. Londhe, T. Konad and S. Kadam, "An Efficient Electricity Theft Detection Using XG Boost," IJEAST, vol. VI, no. 10, pp. 282-287, 2022.