DocumentCode :
351217
Title :
Analysis of high-voltage substations design using artificial neural networks
Author :
Silva, Ivan Nunes da ; De Souza, Andre Nunes
Author_Institution :
Dept. of Electr. Eng., Sao Paulo Univ., Brazil
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
331
Abstract :
This paper demonstrates that artificial neural networks can be used effectively for the identification and estimation of parameters related to analysis and design of high-voltage substations. More specifically, the neural networks are used to compute electrical field intensity and critical disruptive voltage in substations taking into account several atmospheric and structural factors, such as pressure, temperature, humidity, distance between phases, height of busbars, and waveforms. Examples of simulation of tests are presented to validate the proposed approach. The results that were obtained by experimental evidences and numerical simulations allowed the proposition of new rules about the specification of substations
Keywords :
substations; CAD; artificial neural networks; atmospheric and structural factors; computer simulation; critical disruptive voltage; electrical field intensity; high-voltage substations design analysis; parameters estimation; parameters identification; specification rules; structural factors;
fLanguage :
English
Publisher :
iet
Conference_Titel :
High Voltage Engineering, 1999. Eleventh International Symposium on (Conf. Publ. No. 467)
Conference_Location :
London
ISSN :
0537-9989
Print_ISBN :
0-85296-719-5
Type :
conf
DOI :
10.1049/cp:19990574
Filename :
820654
Link To Document :
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