送電鉄塔建設における落雷頻度算出のためのニューラルネットワークの構築

概要

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Abstract In info-communication society, dependence on electricity rises more and more. Therefore, good quality and stable electric power are being demanded by the society. However, many of accidents in the electric power system are caused by lightning and efficient lightning damage measures based on the lightning stroke forecast are necessary.Then, this research aims to make clear the relation between lightning strokes and topographies based on the data observed with LPATS (Lightning Positioning And Tracking System) owned by Kyusyu Electric Power Co., Inc. . In this paper, we paid attention to three transmission lines newly established in Miyazaki Prefecture, and Construction of the neural network for the lightning strokes frequency calculation before and after transmission tower construction. As a result, it seemed that lightning strokes frequency changes according to geographical factor. That is, lightning strokes and topographies have the correlation.
宮崎大学の論文
2006-08-30