Abdelaziz LAKEHAL, Zoubir CHELLI, Yacine DJEGHADER and Mohamed Elfilali Ahmed Mahmoud (2018) Modélisation Bayésienne de la Fiabilité des Réseaux Electriques Moyenne Tension. The 3rd International Conference on Electromechanical Engineering (ICEE’2018) , 20 Août 1955 University, Skikda, Algeria
Scientific Publications
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Abstract
Each year, hundreds of kilometers of medium voltage power lines across the country are repaired or
replaced. In order to reduce the effects of failures of these lines and improve service quality, while ensuring service continuity, the study of their behavior is found necessary. In addition, existing medium voltage electrical energy transmission systems are increasingly exposed to numerous risks (accidental breakage, failure of a transformer, and unavailability of operating devices). These situations of failure represent the major concern of the operators of these networks (Sonelgaz), and the authorities. In this context a prediction of the reliability of these electrical networks has been sought. The reliability of the electrical power network has been modeled using a static Bayesian network. This made it possible to qualitatively and quantitatively analyze the electricity availability in the electrical network. Dynamic Bayesian Networks (RBD) are also used to assess the reliability of switches that have a dynamic behavior. The dynamic modeling presented in this paper is a function of time, something that has allowed forecasting
management of the energy distribution. Finally, an application on a section of medium voltage network in the locality of Souk-Ahras has been shown in order to validate the Bayesian model experimentally on the one hand, and on the other hand to show the efficiency of these tools in real-world applications alongside real-time operating systems such as the SCADA used by Sonelgaz.
replaced. In order to reduce the effects of failures of these lines and improve service quality, while ensuring service continuity, the study of their behavior is found necessary. In addition, existing medium voltage electrical energy transmission systems are increasingly exposed to numerous risks (accidental breakage, failure of a transformer, and unavailability of operating devices). These situations of failure represent the major concern of the operators of these networks (Sonelgaz), and the authorities. In this context a prediction of the reliability of these electrical networks has been sought. The reliability of the electrical power network has been modeled using a static Bayesian network. This made it possible to qualitatively and quantitatively analyze the electricity availability in the electrical network. Dynamic Bayesian Networks (RBD) are also used to assess the reliability of switches that have a dynamic behavior. The dynamic modeling presented in this paper is a function of time, something that has allowed forecasting
management of the energy distribution. Finally, an application on a section of medium voltage network in the locality of Souk-Ahras has been shown in order to validate the Bayesian model experimentally on the one hand, and on the other hand to show the efficiency of these tools in real-world applications alongside real-time operating systems such as the SCADA used by Sonelgaz.
Information
| Item Type | Conference |
|---|---|
| Divisions |
» Faculty of Science and Technology |
| ePrint ID | 1733 |
| Date Deposited | 2019-05-10 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/1733 |
BibTex
@inproceedings{uniusa1733,
title={Modélisation Bayésienne de la Fiabilité des Réseaux Electriques Moyenne Tension},
author={Abdelaziz LAKEHAL, Zoubir CHELLI, Yacine DJEGHADER and Mohamed Elfilali Ahmed Mahmoud},
year={2018},
booktitle={The 3rd International Conference on Electromechanical Engineering (ICEE’2018)}
}
title={Modélisation Bayésienne de la Fiabilité des Réseaux Electriques Moyenne Tension},
author={Abdelaziz LAKEHAL, Zoubir CHELLI, Yacine DJEGHADER and Mohamed Elfilali Ahmed Mahmoud},
year={2018},
booktitle={The 3rd International Conference on Electromechanical Engineering (ICEE’2018)}
}