Agent-based maintenance decision support system for power gridsoperating in electricity markets
METADATA ONLY
Author / Producer
Date
2020
Publication Type
Other Conference Item
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
Condition-based and predictive maintenance enable early detections of critical system conditions and thereby enable decision makers to forestall the faults and mitigate them. However, the decision makers also need to take the operational and production needs into consideration to take an optimal decision when to perform the maintenance. Particularly in network systems, such as power grids, decision on the maintenance of single assets can affect the entire network and are, therefore, more complex.
Permanent link
Publication status
published
Book title
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Managaement Conference
Journal / series
Volume
Pages / Article No.
4837
Publisher
Research Publishing Services
Event
30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Maintenance decision support system; Electrical power grids; Distributed algorithm
Organisational unit
09452 - Sansavini, Giovanni / Sansavini, Giovanni
09642 - Fink, Olga (ehemalig) / Fink, Olga (former)