Abstract-The use of composite insulators for overhead transmission lines has increased in the past decade. Various designs and models are now available for a wide range of voltages. The 3D Finite Element Analysis electric field distribution of such composite insulators has been of considerable interest due to its differences to 'conventional' glass or ceramic insulators. Results of such analysis are now widely available. The present paper presents and analyses the electric field distribution around a composite insulator, which is intended to replace both existing high voltage insulators and the cross-arms of transmission towers. The complex geometry of the composite cross-arm, which includes four separate insulator strings and different shed profiles across these members all connected to a common metallic nose cone, make it difficult to model in any 3D Finite Element Analysis package. The present paper will evaluate the electric fields on such a composite cross-arm, in regards to the areas of high field enhancement.
the surface potential gradient is a critical design parameter for planning overhead lines, as it determines the level of corona loss (CL), radio interference (RI), and audible noise (AN). The majority of existing models for surface gradient calculation are based on analytical methods which restrict their application in simulating complex surface geometry. This article proposes a novel method which utilizes both analytical and numerical procedures to predict the surface gradient. With this effective model, stranding shape, protrusions, proximity of tower, type of tower, bundle spacing and bundle arrangement can be taken into consideration when calculating surface potential gradients. A sensitivity study on the factors could affect surface gradient distribution is performed.
the surface potential gradient is a critical design parameter for planning overhead lines, as it determines the level of corona loss (CL), radio interference (RI), and audible noise (AN). The majority of existing models for surface gradient calculation are based on analytical methods which restrict their application in simulating complex surface geometry. This article proposes a novel method which utilizes both analytical and numerical procedures to predict the surface gradient. With this effective model, stranding shape, protrusions, proximity of tower, type of tower, bundle spacing and bundle arrangement can be taken into consideration when calculating surface potential gradients. A sensitivity study on the factors could affect surface gradient distribution is performed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.