DocumentCode :
3665571
Title :
Dynamic probabilistic risk assessment of cascading outages
Author :
Pierre Henneaux;Jiajia Song;Eduardo Cotilla-Sanchez
Author_Institution :
Tractebel Engineering (GDF SUEZ), Brussels 1200, Belgium
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
Cascading outages in transmission power systems leading to blackouts or major power disruption are due to complex mechanisms. Some of the key mechanisms are intrinsically linked to power system dynamics that static models cannot represent. Additionally, stochastic failures of the protection devices are another important factor. Therefore, a dynamic probabilistic risk assessment of cascading outages is necessary. However, most of the existing approaches are based on static power system models. This paper discusses the limitation of these static models, reviews the state of the art on dynamic probabilistic risk assessment of cascading outages and proposes several techniques to solve the current challenges. Probabilistic dynamic simulations are compared to deterministic dynamic simulations using two test systems. The results show that probabilistic simulations show various impacts on the cascading risks for those two test systems.
Keywords :
"Power system dynamics","Probabilistic logic","Load modeling","Risk management","Power system faults","Power system protection","Power system stability"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7286024
Filename :
7286024
Link To Document :
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