Monitoring and Fault Location Sensor Network for Underground Distribution Lines
AbstractOne of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affect thousands of customers. However, the complexity of this network has been increased with the irruption of distributed generation, typical in a Smart Grid and which has significantly complicated some of the analyses, making it impossible to apply traditional techniques. This problem is intensified in underground lines where access is limited. As a possible solution, this paper proposes to make a deployment of a distributed sensor network along the power lines. This network proposes taking advantage of its distributed character to support new approaches of these analyses. In this sense, this paper describes the aquiculture of the proposed network (adapted to the power grid) based on nodes that use power line communication and energy harvesting techniques. In this sense, it also describes the implementation of a real prototype that has been used in some experiments to validate this technological adaptation. Additionally, beyond a simple use for monitoring, this paper also proposes the use of this approach to solve two typical distribution system operator problems, such as: fault location and failure forecasting in power cables. View Full-Text
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Parejo, A.; Personal, E.; Larios, D.F.; Guerrero, J.I.; García, A.; León, C. Monitoring and Fault Location Sensor Network for Underground Distribution Lines. Sensors 2019, 19, 576.
Parejo A, Personal E, Larios DF, Guerrero JI, García A, León C. Monitoring and Fault Location Sensor Network for Underground Distribution Lines. Sensors. 2019; 19(3):576.Chicago/Turabian Style
Parejo, Antonio; Personal, Enrique; Larios, Diego F.; Guerrero, Juan I.; García, Antonio; León, Carlos. 2019. "Monitoring and Fault Location Sensor Network for Underground Distribution Lines." Sensors 19, no. 3: 576.
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