Novel technique for estimating pollution-associated leakage current in high voltage insulators based on adaptive filtering in long-term recording

[EN] Moist polluting substances on high-voltage insulator surfaces can cause power-line failures by triggering electric arcs. There are at present no effective methods of measuring insulator pollution levels during normal operations. In this work, we attempt to estimate insulator pollution leakage c...

Descripción completa

Detalles Bibliográficos
Autores: Bueno-Barrachina, José-M., Cañas-Peñuelas, César|||0000-0002-4781-3151, Ye Lin, Yiyao|||0000-0003-2929-181X, Fuster Roig, Vicente Luis|||0000-0002-2428-9203
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Ajuntament de Barcelona
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/176276
Acceso en línea:https://riunet.upv.es/handle/10251/176276
Access Level:acceso abierto
Palabra clave:Leakage current
Flashover
High-voltage insulator
Adaptive filtering
Pollution deposits associated with leakage current
Pollution leakage current
TECNOLOGIA ELECTRONICA
INGENIERIA ELECTRICA
Descripción
Sumario:[EN] Moist polluting substances on high-voltage insulator surfaces can cause power-line failures by triggering electric arcs. There are at present no effective methods of measuring insulator pollution levels during normal operations. In this work, we attempt to estimate insulator pollution leakage current (PLC) as an indirect method of measuring deposits in a 30 month period of simultaneously recording leakage current and related environmental variables in substation insulators. We analyzed the relationship between raw leakage current and environmental variables. We canceled out the influence of relative humidity on leakage current by adaptive filtering and then obtained the PLC by filtering out the anomalous peaks in the recording. The proposed method considerably reduces the correlation between leakage current and relative humidity (0.826 vs 0.019). The resulting signal was only slightly correlated with other environmental variables (<0.03), suggesting that the relationships between leakage current and temperature, wind direction and speed are mainly attributable to their influence on relative humidity. The PLC presents a quasi-annual smooth fluctuation over time with a magnitude similar to those obtained in laboratory tests. This novel technique could be used to monitor insulator PLC in real time and thus improve power supply continuity and reduce maintenance costs.