DocumentCode
2938809
Title
Maximum Hybrid Entropy Interval Probability Assessment of Equipment Failure Due to Voltage Sags
Author
Zeng Zhuo-Lin ; Xu Pei-Dong ; Ma Jing ; Xiao Xian-Yong ; Wang Ying ; Xu Mei
Author_Institution
Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
5
Abstract
There is complex uncertainty involved in evaluation of equipment sensitivity to voltage sags, and that makes it difficult for the point-valued assessment method to evaluate the impact of voltage sags on the sensitive equipment, especially in the case of small sample size. Considering the multi-valued nature of equipment status during the voltage sags, the voltage tolerance level of sensitive equipment is characterized by interval data, so as to derive interval probabilities of equipment operation status. Meanwhile, hybrid entropy is then used to measure the uncertainty of randomness and fuzziness in equipment voltage tolerance level. It develops one novel model by transforming the interval probability into point-valued probability based on maximum hybrid entropy model. By the help of personal computers, the proposed model is finally verified in a test distribution system.
Keywords
power supply quality; probability; equipment failure; equipment operation status; equipment sensitivity evaluation; equipment voltage fuzziness; maximum hybrid entropy interval probability assessment; point-valued assessment method; point-valued probability; randomness uncertainty; test distribution system; voltage sag; voltage tolerance level; Entropy; Mathematical model; Power quality; Uncertainty; Voltage fluctuations;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748981
Filename
5748981
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