DocumentCode :
3751416
Title :
Proactive Failure Management in Smart Grids for Improved Resilience: A Methodology for Failure Prediction and Mitigation
Author :
Igor Kaitovic;Slobodan Lukovic;Miroslaw Malek
Author_Institution :
Adv. Learning &
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
A gradual move in the electric power industry towards Smart Grids brings several challenges to the system operation such as preserving its resilience and ensuring security. As the system complexity grows and a number of failures increases, the need for grid management paradigm shift from reactive to proactive is apparent and can be realized by employing advanced monitoring instruments, data analytics and prediction methods. In order to improve resilience of the Smart Grid and to contribute to efficient system operation, we present a blueprint of a comprehensive methodology for proactive failure management that may also be applied to manage other types of disturbances and undesirable changes. The methodology is composed of three main steps: continuous monitoring of the most indicative features; prediction of failures; their mitigation. The approach is complementary to the existing ones that are mainly based on fast detection and localization of grid disturbances, and reactive corrective actions.
Keywords :
"Smart grids","Monitoring","Resilience","Phasor measurement units","Maintenance engineering","Power system stability"
Publisher :
ieee
Conference_Titel :
Globecom Workshops (GC Wkshps), 2015 IEEE
Type :
conf
DOI :
10.1109/GLOCOMW.2015.7414155
Filename :
7414155
Link To Document :
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