Published

2018-05-01

Intelligent system for non-technical losses management in residential users of the electricity sector

Sistema inteligente para la detección de irregularidades en consumidores residenciales de empresas comercializadoras de energía

Keywords:

non-technical losses, irregular electricity consumption, fraud detection, intelligent systems (en)
Pérdidas no técnicas, Consumo irregular de electricidad, detección de fraudes, Sistemas inteligentes. (es)

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Authors

  • Miguel Uparela Cantillo Universidad del Norte
  • Ruben González Universidad del Norte
  • Jamer Jiménez Mares Universidad del Norte
  • Christian Quintero Monroy Universidad del Norte
The identification of irregular users is an important assignment in the recovery of energy in the distribution sector. This analysis requires low error levels to minimize non-technical electrical losses in power grid. However, the detection of fraudulent users who have billing does not present a generalized methodology. This issue is complex and varies according to the case study. This paper presents a novel methodology to identify residential fraudulent users by using intelligent systems. The proposed intelligent system consists of three fundamental modules. The first module performs the classification of users with similar power consumption curves using self-organizing maps and genetic algorithms. The second module allows carrying out the monthly electricity demand forecasting through of recursive adjustment of ARIMA models. The third module performs the detection of fraudulent users through an artificial neural network for pattern recognition. For the design and validation of the proposed intelligent system, several tests were performed in each developed module. The database used for the design and evaluation of the modules was constructed with data supplied by the energy distribution company of the Colombian Caribbean Region. The results obtained by the proposed intelligent system show a better performance versus the detection rates obtained by the company.

 La identificación de usuarios con consumo fraudulento es una actividad importante en la recuperación de energía en el sector de la distribución. Este análisis requiere bajos niveles de error para minimizar las pérdidas eléctricas no técnicas en la red de distribución. Sin embargo, la detección de usuarios fraudulentos con facturación no tiene una metodología generalizada. Este es un problema complejo y varía de acuerdo con cada caso de estudio. Este artículo presenta una nueva metodología para la identificación inteligente de usuarios fraudulentos residenciales basada en sistemas inteligentes. El sistema inteligente propuesto consiste en tres módulos fundamentales. El primer módulo clasifica a los usuarios con curvas de consumo similares a través de mapas auto-organizativos y algoritmo genéticos. El segundo módulo realiza la predicción de consumos mensuales mediante ajustes recursivos de modelos ARIMA. El tercer módulo es el responsable de llevar a cabo la detección de usuarios irregulares por medio de una red neuronal para reconocimiento de patrones. Para el diseño y validación del sistema inteligente propuesto se realizaron pruebas en cada módulo que lo integra para diferentes tipos de clientes del mercado. La base de datos utilizada para el diseño y evaluación de los módulos fue construida a partir de los datos suministrados por la empresa de distribución de energía de la Costa Caribe Colombiana. Los resultados obtenidos por el sistema inteligente propuesto muestran un mejor desempeño frente a los índices de detección obtenidos por la empresa.

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How to Cite

Intelligent system for non-technical losses management in residential users of the electricity sector. (2018). Ingeniería E Investigación, 38(2), 52-60. https://doi.org/10.15446/ing.investig.v38n2.67331

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Copyright (c) 2018 Miguel Uparela Cantillo, Ruben González, Jamer Jiménez Mares, Christian Quintero Monroy

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