A Study of Automatic Decision Making for Washing the Polluted Insulators in Coastal Substations Based on the Prediction by Use of Pollution Model with Weather Information

Abstract

Insulators in coastal substations are rapidly polluted due to the salty wind blowing from the sea. The insulator pollution causes higher leakage current and ultimately gives rise to blackouts due to flash-over. This research is aimed at developing a method of reliable automatic decision making for washing the polluted insulators in substations near coastal areas. The proposed method makes use of a model of pollution deposits which was constructed based on the actual data of pollution deposits and weather information at Karatsu substation and Nishikyushu substation. Decision is made automatically using the predicted pollution deposits, which is obtained from the pollution deposits model. Effectiveness of the proposed method is assured by applying it to the actual data.