Abdelaziz LAKEHAL, Zoubir CHELLI and Yacine DJEGHADER (2019) A Hybrid Bayesian Network Based Method to Assess and Predict Electrical Power Network Reliability. IEEE, 4th Edition of World conference on Complex Systems (WCCS’2019) , Ouarzazate – Morocco
Scientific Publications
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Abstract
Along with the development of the supervisory control and data acquisition system, electrical power network breakdown maintenance and support become more difficult. Several models were developed to solve the problems in electrical power networks reliability. The paper adopts a hybrid Bayesian network model, defines the failure rate of different fault of switches, models the switches which have a dynamic behavior by Dynamic Bayesian Network (DBN), and give some flexibility in the framework of data analysis. The research is valuable for predicting the behavior of the electrical power network automatically and improving the availability of the power and the decision making environment.
Information
| Item Type | Conference |
|---|---|
| Divisions |
» Faculty of Science and Technology |
| ePrint ID | 2044 |
| Date Deposited | 2019-12-17 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/2044 |
BibTex
@inproceedings{uniusa2044,
title={A Hybrid Bayesian Network Based Method to Assess and Predict Electrical Power Network Reliability},
author={Abdelaziz LAKEHAL, Zoubir CHELLI and Yacine DJEGHADER},
year={2019},
booktitle={IEEE, 4th Edition of World conference on Complex Systems (WCCS’2019)}
}
title={A Hybrid Bayesian Network Based Method to Assess and Predict Electrical Power Network Reliability},
author={Abdelaziz LAKEHAL, Zoubir CHELLI and Yacine DJEGHADER},
year={2019},
booktitle={IEEE, 4th Edition of World conference on Complex Systems (WCCS’2019)}
}