Volume 66, Issue 1, April 2023, Pages 256–263
Nimi Malonda Gauthier1, Meni Babakidi Narcisse2, Lidinga Mobonda Flory3, CIMBELA KABONGO JOSEPH4, and Pasi Bengi Masata André5
1 Université Pédagogique Nationale, Faculty of Sciences, Department of Physics and Applied Sciences, Kinshasa, RD Congo
2 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
3 Institut Supérieur des Techniques Appliquées (ISTA), Kinshasa, RD Congo
4 Université Pédagogique Nationale de Kinshasa, RD Congo
5 Institut Supérieur des Techniques Appliquées (ISTA), Kinshasa, RD Congo
Original language: English
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In many countries, non-technical losses and theft of electricity are serious problems for electricity companies. The development of cost-effective algorithms to deal with these types of non-technical losses aims to reduce trading losses. This article presents a strategy for detecting non-technical losses using an arduino UNO control board that establishes a reliable region to monitor the measured variance and a practical scheme for determining and reducing non-technical losses in the electrical network by detecting the suspicious area where incorrect meter readings and electricity thefts occur. After the detection of the non-technical losses, a path finding procedure based on different algorithms is able to locate the consumption point with the non-technical loss. In addition, an information system application displays the targeted consumption point. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for the monitoring of a real distribution network.
Author Keywords: electrical energy, non-technical loss, Prepayment mode, algorithms, arduino UNO.
Nimi Malonda Gauthier1, Meni Babakidi Narcisse2, Lidinga Mobonda Flory3, CIMBELA KABONGO JOSEPH4, and Pasi Bengi Masata André5
1 Université Pédagogique Nationale, Faculty of Sciences, Department of Physics and Applied Sciences, Kinshasa, RD Congo
2 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
3 Institut Supérieur des Techniques Appliquées (ISTA), Kinshasa, RD Congo
4 Université Pédagogique Nationale de Kinshasa, RD Congo
5 Institut Supérieur des Techniques Appliquées (ISTA), Kinshasa, RD Congo
Original language: English
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In many countries, non-technical losses and theft of electricity are serious problems for electricity companies. The development of cost-effective algorithms to deal with these types of non-technical losses aims to reduce trading losses. This article presents a strategy for detecting non-technical losses using an arduino UNO control board that establishes a reliable region to monitor the measured variance and a practical scheme for determining and reducing non-technical losses in the electrical network by detecting the suspicious area where incorrect meter readings and electricity thefts occur. After the detection of the non-technical losses, a path finding procedure based on different algorithms is able to locate the consumption point with the non-technical loss. In addition, an information system application displays the targeted consumption point. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for the monitoring of a real distribution network.
Author Keywords: electrical energy, non-technical loss, Prepayment mode, algorithms, arduino UNO.
How to Cite this Article
Nimi Malonda Gauthier, Meni Babakidi Narcisse, Lidinga Mobonda Flory, CIMBELA KABONGO JOSEPH, and Pasi Bengi Masata André, “Implementation of an electronic system for the detection of non-technical losses in electrical power distribution systems,” International Journal of Innovation and Scientific Research, vol. 66, no. 1, pp. 256–263, April 2023.
