Authors:
Syrine Ben Meskina
1
;
Narjes Doggaz
1
and
Mohamed Khalgui
2
Affiliations:
1
University Tunis-El Manar, Tunisia
;
2
University of Carthage, Tunisia
Keyword(s):
Smart Grid, Fault Categorization, Dominant Faults, Equivalent Faults, Local Resolution, Non-local Resolution, Multi-agent System.
Related
Ontology
Subjects/Areas/Topics:
Distributed Intelligent Agents
;
Embedded Communications Systems
;
Mobile and Pervasive Computing
;
Mobile Computing
;
Software Architectures
;
Telecommunications
Abstract:
This research paper deals with failures and faults in power smart grids. We propose an original multi-agent
approach for power system recovery based on fault classification. For that, we propose the classification
of faults as dominant or equivalent ones. This classification has the advantage of optimizing the task of
power system recovery. To test and validate our approach, we develop a simulator, named FDIRSY (Fault
Detection, Isolation and Recovery SYstem). The experimental study showed that our approach ensures the
search for the best solution from the existing ones thanks to the use of mobile agents. These agents have
the advantage of evaluating all the existing alternatives while reducing the communication cost (in terms of
exchanged messages). We demonstrate that our approach is gainful in terms of required times, actions to be
performed as well as the faults to be resolved thanks to the proposed fault classification.