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
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;
Conference_Titel :
Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8447-4
DOI :
10.1109/ELINSL.2004.1380572