Smart Grid Reconfiguration based on Prediction Model for Technical Teams Intervention Integration and Recovery Enhancement

Leila Ziouche, Syrine Ben Meskina, Mohamed Khalgui, Laid Kahoul

2020

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{enase20,
author={Leila Ziouche 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},
}

in EndNote Style

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