DocumentCode
1774737
Title
Prearranged power failure modeling for distribution network reliability evaluation
Author
Yang Jianlin ; Fei Fei ; Jiang Fengqing ; Zhu Yongwei ; Pang Aili ; Li Yinong
Author_Institution
Econ. Res. Inst., Shanghai Electr. Power Co., Shanghai, China
fYear
2014
fDate
23-26 Sept. 2014
Firstpage
1660
Lastpage
1663
Abstract
Evaluation of the distribution network´s reliability with the consideration of the impacts of prearranged power failure is studied in the paper. Prearranged power failure are classified into two types according to their natures and each of them is modeled to predict its failure rates for distribution network reliability evaluation. Prearranged power failure due to power component maintenance is modeled based on the fact that that the relationship between component´s service time and failure rate follows the bathtub curve, and prearranged power failure due to power component capacity expansion is based on the fact that capacity expansion of a component is much depended on its average load rate, peak load, yearly increment of average load rate, and yearly increment of peak load. Three kinds of ways to decide which loads to be transferred are proposed and the impacts of their ways on distribution network´s reliability are compared. The case study shows that the proposed methods are effective in distribution network´s reliability evaluation and various load transfer have different impacts on distribution network´s reliability.
Keywords
Weibull distribution; power distribution faults; power distribution reliability; average load rate; bathtub curve; distribution network reliability evaluation; failure rates; load transfer; peak load; power component capacity expansion; power component maintenance; prearranged power failure; Abstracts; Educational institutions; Load modeling; Reliability; Time-frequency analysis; classification of nodes; malfunction power cut; prearranged power cut; the Weibull distribution; the mean rank order method;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICED.2014.6991988
Filename
6991988
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