| Journal: | Visión electrónica |
| Database: | PERIÓDICA |
| System number: | 000461452 |
| ISSN: | 1909-9746 |
| Authors: | Martínez V., José A1 Martínez S.,Fredy H2 |
| Institutions: | 1Codensa, S.A., Bogotá. Colombia 2Universidad Distrital Francisco José de Caldas, Bogotá. Colombia |
| Year: | 2014 |
| Season: | Ene-Jun |
| Volumen: | 8 |
| Number: | 1 |
| Pages: | 111-124 |
| Country: | Colombia |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Prospectivo |
| English abstract | Tree-related power outages represent significant costs and failure ra-tes in power supply. The existence of trees implies that the solution to this problem should focus on optimizing pruning cycles. This optimi-zation is of great importance because of the costs associated to such maintenance. This paper is intended to propose a methodology for the maintenance of trees based on data analysis. Starting from the infor-mation captured in the field, we use techniques and models based on fuzzy logic and genetic algorithms, which keeps maintenance tasks on the optimal time and place. The strategy is aimed at two key aspects: first, the history of failures caused by trees on medium-voltage power supplies, this information is used to calculate quality indicators (energy not supplied [ENS] and number of users affected [NU]*) only regarding to tree-associated failure. We use a fuzzy logic based system to pon-der and find the critical circuits on which forest maintenance should be performed. Second, we construct an objective function based on tree-network distance and growth patterns of trees per species in order to simulate forest maintenance. To this end, a genetic algorithm is used to determine the optimum pruning cycle of a given power supply. We use real historical data of medium voltage circuits for the system setting as well as for the eva-luation of performance |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería eléctrica, Análisis de datos, Análisis de fallas, Arboles de decisión, Lógica difusa, Redes de distribución de energía |
| Keyword: | Electrical engineering, Data analysis, Decision trees, Failure analysis, Fuzzy logic, Power distribution networks, Power supply |
| Full text: | https://revistas.udistrital.edu.co/index.php/visele/article/view/7868/9596 |
