DocumentCode :
2002667
Title :
The uncertainty assessment of sensitive equipment voltage sags ride-through ability based on maximum hybrid entropy
Author :
Da Yang ; Ying Wang ; Xianyong Xiao ; Wei Xu
fYear :
2012
fDate :
15-20 Sept. 2012
Firstpage :
2022
Lastpage :
2029
Abstract :
Considering the normal operation possibility of the equipment and severity after fault in the process of equipment sensitivity evaluation, this paper focuses on the uncertainty happening in the actual event, and chooses entropy as the measure and then creates maximum hybrid entropy evaluation model. Based on this model, it can obtain the probability distribution and the membership with least subjective assumption. According to various uncertainty included in different sensitive events and their weight, it can get the total equipment failure rate. Theoretical analysis has been verified by practical testing, which show that the proposed method is accurate for the practical engineering projects.
Keywords :
maximum entropy methods; power supply quality; probability; least subjective assumption; maximum hybrid entropy evaluation model; normal operation possibility; practical engineering projects; probability distribution; sensitive equipment voltage sags ride-through ability; total equipment failure rate; uncertainty assessment; Approximation methods; Entropy; Sensitivity; Testing; Uncertainty; Voltage fluctuations; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
Type :
conf
DOI :
10.1109/ECCE.2012.6342563
Filename :
6342563
Link To Document :
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