DocumentCode
2317461
Title
Outdoor insulation coordination with artificial neural network
Author
Wenxia Sima ; Xingliang Jiang
Author_Institution
Key Lab. of High Voltage & Eng. New Technol., Chongqing Univ., China
fYear
2004
fDate
19-22 Sept. 2004
Firstpage
316
Lastpage
319
Abstract
Based on the tests carried out by simulating icing conditions and low pressure in an artificial climate chamber, this paper presents a new method of outdoor insulation coordination with artificial neural network (ANN). This method employs an ANN model to map the climatic condition and the flashover voltage of an insulator. After the appropriate model is established with training and validating, it can forecast the flashover voltage of an insulator in complex ambient conditions. Then, it puts forwards that using this ANN model is helpful in studying outdoor insulation coordination and analyzing the electrical performance of insulator in complex ambient climatic conditions.
Keywords
flashover; insulation co-ordination; insulator testing; neural nets; artificial climate chamber; artificial neural network; complex ambient climatic conditions; icing conditions; insulator electrical performance; insulator flashover voltage; outdoor insulation coordination; Artificial neural networks; Atmospheric modeling; Dielectrics and electrical insulation; Feedforward neural networks; Flashover; Laboratories; Neural networks; Power system modeling; Predictive models; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
ISSN
1089-084X
Print_ISBN
0-7803-8447-4
Type
conf
DOI
10.1109/ELINSL.2004.1380572
Filename
1380572
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