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Título : | A cumulative pollution index for the estimation of the leakage current on insulator strings |
Autor : | Santos Yubero, Héctor de Sanz Bobi, Miguel Ángel |
Fecha de publicación : | 1-oct-2020 |
Resumen : | The pollution performance of insulators installed in transmission and distribution lines plays a key role in maintaining the reliability, safety and cost-effectiveness of power systems. Among the different insulator monitoring techniques, leakage current stands out as one of the most meaningful pollution performance indicators as it gives a measure of how close the insulators string is to flashover. This paper presents a novel methodology for the prediction of the leakage current on insulator strings considering the environmental and weather information of the insulators location. It is based on the combination of a new developed Cumulative Pollution Index (CPI), which estimates the soluble pollution deposit on the insulator string, and a machine learning technique such as Random Forests algorithm. The method is valid for ceramic insulators, i.e. toughened glass, as well as RTV silicone-coated insulators with hydrophobic transfer properties. The research is supported by an extensive field monitoring program where three different insulator strings composed by non-coated, half-coated (bottom part) and full-silicone-coated glass insulators were monitored in a period covering twenty-two consecutive months. Finally, the performance of the proposed prediction model is evaluated using real data. |
Descripción : | Artículos en revistas |
URI : | https:doi.org10.1109TPWRD.2020.2968556 |
ISSN : | 0885-8977 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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IIT-20-007A.pdf | 841,1 kB | Adobe PDF | Visualizar/Abrir Request a copy |
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