ORCID Profile
0000-0002-9784-9494
Current Organisation
Universidad Nacional de Colombia Sede Medellín
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Publisher: Universidad Nacional de Colombia
Date: 2018
DOI: 10.15446/DYNA.V85N204.61445
Abstract: Este documento presenta un modelo útil para determinar los períodos de lavado e indicar los niveles de contaminación de aisladores eléctricos. El comportamiento de la corriente de fuga, como indicador de la presencia de contaminantes en las superficies de los aisladores, se caracterizó a través de un modelo de regresión. Se examina cuantitativamente el comportamiento de la corriente de fuga y la contaminación de los componentes eléctricos. Se analizan los datos de las variables ambientales y la corriente de fuga en una subestación eléctrica y se identifica un modelo que representa bien el comportamiento de la corriente de fuga en los aisladores. Con este modelo, se pueden realizar predicciones del efecto de contaminación utilizando herramientas de análisis para identificar los efectos de la corriente de fuga en toda la red. Este método se puede usar para obtener modelos de corriente de fuga en subestaciones eléctricas ubicadas en zonas altamente contaminadas.
Publisher: Springer Science and Business Media LLC
Date: 23-10-2014
DOI: 10.1007/S11356-014-3729-3
Abstract: The contamination of electrical insulators is one of the major contributors to the risk of operation outages in electrical substations, especially in coastal zones with high salinity levels and atmospheric pollution. By using the measurement of leakage-currents, which is one of the main indicators of contamination in insulators, this work seeks to the determine the correlation with climatic variables, such as ambient temperature, relative humidity, solar irradiance, atmospheric pressure and wind speed and direction. The results obtained provide an input to the behaviour of the leakage current under atmospheric conditions that are particular to the Caribbean coast of Colombia. Spearman's rank correlation coefficients and principal component analysis are utilised to determine the significant relationships among the different variables under consideration. The necessary information for the study was obtained via historical databases of both atmospheric variables and the leakage current measured in over a period of 1 year in a 220-kV potential transformer insulator. We identified the influencing factors of temperature, humidity, radiation, wind speed and direction on the magnitude of the leakage current as the most relevant.
Publisher: Elsevier BV
Date: 09-2021
Publisher: Springer Science and Business Media LLC
Date: 31-01-2015
DOI: 10.1007/S11356-015-4153-Z
Abstract: Pollution on electrical insulators is one of the greatest causes of failure of substations subjected to high levels of salinity and environmental pollution. Considering leakage current as the main indicator of pollution on insulators, this paper focuses on establishing the effect of the environmental conditions on the risk of failure due to pollution on insulators and determining the significant change in the magnitude of the pollution on the insulators during dry and humid periods. Hierarchical segmentation analysis was used to establish the effect of environmental conditions on the risk of failure due to pollution on insulators. The Kruskal-Wallis test was utilized to determine the significant changes in the magnitude of the pollution due to climate periods. An important result was the discovery that leakage current was more common on insulators during dry periods than humid ones. There was also a higher risk of failure due to pollution during dry periods. During the humid period, various temperatures and wind directions produced a small change in the risk of failure. As a technical result, operators of electrical substations can now identify the cause of an increase in risk of failure due to pollution in the area. The research provides a contribution towards the behaviour of the leakage current under conditions similar to those of the Colombian Caribbean coast and how they affect the risk of failure of the substation due to pollution.
No related grants have been discovered for John Edwin Candelo Becerra.