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Authors: Leila Ziouche 1 ; Syrine Ben Meskina 2 ; Mohamed Khalgui 3 and Laid Kahoul 4

Affiliations: 1 National Institute of Applied Sciences and Technology, Carthage University, Tunis, Tunisia, Computer Science Department, Science Faculty of Tunis, Tunis, Tunisia ; 2 Computer Science Department, ESPRIT - School of Business, Tunis, Tunisia ; 3 National Institute of Applied Sciences and Technology, Carthage University, Tunis, Tunisia ; 4 LINFI LAB, Computer Science Department, Biskra University, Algeria

ISBN: 978-989-758-421-3

Keyword(s): Smart Grid, Reconfiguration, Technical Team, Prediction Model, Recovery Enhancement.

Abstract: To overcome the problem of critical failures recovery and improve reliability, quality of service and recovery performance, it is essential to provide and apply a new oriented solution for smart grid reconfiguration. This solution allows for resolving the problem of the late intervention of technical teams and the insufficiency of energy for recovery, by implementing a prediction model that assists the integration of a number of technical teams. In addition, it estimates the newly added number of emergency lines coming from new integrated renewable sources. This heuristic is programmed based on the linear programming and the simplex algorithm. This approach is implemented in python as a tool called SGREP, then tested and validated at run-time on four real different smart grids. Thereby, the proposed solution improves the guaranteed gains in terms of power availability, waiting time and financial cost.

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Paper citation in several formats:
Ziouche, L.; Ben Meskina, S.; Khalgui, M. and Kahoul, L. (2020). Smart Grid Reconfiguration based on Prediction Model for Technical Teams Intervention Integration and Recovery Enhancement.In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 382-389. DOI: 10.5220/0009406703820389

@conference{enase20,
author={Ziouche, L. and Syrine Ben Meskina. and Mohamed Khalgui. and Laid Kahoul.},
title={Smart Grid Reconfiguration based on Prediction Model for Technical Teams Intervention Integration and Recovery Enhancement},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2020},
pages={382-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009406703820389},
isbn={978-989-758-421-3},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Smart Grid Reconfiguration based on Prediction Model for Technical Teams Intervention Integration and Recovery Enhancement
SN - 978-989-758-421-3
AU - Ziouche, L.
AU - Ben Meskina, S.
AU - Khalgui, M.
AU - Kahoul, L.
PY - 2020
SP - 382
EP - 389
DO - 10.5220/0009406703820389

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