Optimization of maintenance management of trees in power distribution systems
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....
| Main Authors: | , |
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| Format: | Article |
| Language: | Spanish |
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Universidad Distrital Francisco Jose de Caldas
2013-03-01
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| Series: | Tecnura |
| Subjects: | |
| Online Access: | http://tecnura.udistrital.edu.co/ojs/index.php/revista/article/view/511/489 |
| Summary: | 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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| ISSN: | 0123-921X 2248-7638 |