Artificial neural networks applied in study of atmospheric parameters to high voltage substations concerning lightning

This paper demonstrates that artificial neural networks can be used effectively for estimation of parameters related to study of atmospheric conditions in high voltage substation design. Specifically, the neural networks are used to compute the variation of electrical field intensity and critical disruptive voltage in substations taking into account several atmospheric factors, such as pressure, temperature, humidity, so on. 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 verification of the influence of atmospheric conditions on design of substations concerning lightning