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Neural network based model for estimating the resistance of outdoor distribution substation grounding

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dc.contributor.author Madhushan, PN
dc.contributor.author Pabasara, WMN
dc.contributor.author Shihab, M
dc.contributor.author Gunawardana, M
dc.date.accessioned 2024-07-19T04:11:12Z
dc.date.available 2024-07-19T04:11:12Z
dc.date.issued 2023-12
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22578
dc.description.abstract Grounding is one of the most important parts of an electrical system. Earthing systems are done to protect the power system and the personnel from the danger of electrical shocks. Ceylon Electricity Board (CEB) uses a special structure for transformer earthing arrangement. The used structure is copper bonded earth rod with a concrete filled steel cage. Due to the complexity of the structure and the nonlinear variations in soil parameters, it is challenging to determine resistance before implementing the structure. We can use an analytical formula for structures to find the resistance. [4] But for complex structure, as we use here, it is challenging to produce an analytical formula. The other solution is to use a Finite Element Method(FEM) to solve the problem.[2] But is also a time-consuming task.[1] So, we propose a combination of FEM and a neural network-based solution for this task.[1]. We propose to generate a data set using FEM and implement it in a neural network. en_US
dc.language.iso en en_US
dc.publisher Engineering Research Unit en_US
dc.subject grounding structure en_US
dc.subject COMSOL en_US
dc.subject Finite Element Method (FEM) en_US
dc.subject neural network en_US
dc.title Neural network based model for estimating the resistance of outdoor distribution substation grounding en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.identifier.year 2023 en_US
dc.identifier.conference ERU Symposium - 2023 en_US
dc.identifier.place Sri Lanka en_US
dc.identifier.pgnos pp. 34-35 en_US
dc.identifier.proceeding Proceedings of the ERU Symposium 2023 en_US
dc.identifier.email nipunmadushan1030@gmail.com en_US
dc.identifier.email nandun.pabasara@gmail.com en_US
dc.identifier.email mohamedshihab2018@gmail.com en_US
dc.identifier.email manujag@uom.lk en_US
dc.identifier.doi https://doi.org/10.31705/ERU.2023.16 en_US


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