Optimization of maintenance management of trees in powerdistribution systems

  • José Alexander Martínez Codensa S.A
  • Fredy Hernán Martínez Sarmiento Universidad Distrital Francisco José de Caldas

Resumen (es_ES)

We propose a data-analysis-based methodology for maintaining trees that affect power distribution networks. From the information captured in the field, we use fuzzy-logic-based techniques and models together with genetic algorithms so as to focus maintenance activities on the optimal time and place. The strategy is aimed at two key aspects: first, the history of failure events caused by trees on medium-voltage power supply systems; this information is used to calculate quality indicators such as energy-not-supplied (ENS) and number-of-users (NU) affected due to falling trees only. In this case we use a fuzzy-logic-based system to weight and find the critical circuits on which forest maintenance should be performed. Second, we construct an objective function based on tree-to-network distances and growth patterns of trees (classified per species) in order to simulate forest maintenance; this is achieved using a genetic algorithm to determine optimum pruning cycles for a given power supply system. We use real historical data of medium voltage circuits for system setting as well as for performance evaluation.


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Biografía del autor/a

José Alexander Martínez, Codensa S.A
Ingeniero de Codensa SAEsp. Bogotá.
Fredy Hernán Martínez Sarmiento, Universidad Distrital Francisco José de Caldas
Ingeniero electricista. Docente de la Universidad Distrital Francisco José de Caldas. Bogotá.
Cómo citar
Martínez, J. A., & Martínez Sarmiento, F. H. (2013). Optimization of maintenance management of trees in powerdistribution systems. Tecnura, 17(35), 12-25. https://doi.org/10.14483/udistrital.jour.tecnura.2013.1.a01
Publicado: 2013-01-01

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