Surge Arrester Modeling - A Comparison Between Different Models For 500KV Transmission Line

Muhammad Abdusshukur, Amat Jupri (2013) Surge Arrester Modeling - A Comparison Between Different Models For 500KV Transmission Line. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Lightning and switching surge is the factor that leads to overvoltage and unstable system in electrical power system. Metal oxide surge arrester was used to prevent the lightning and switching overvoltage and to protect the system and equipment. Modeling surge arrester was used to determine the residual voltage and percentage of error for a surge arrester through the simulation. Surge arrester modeling starts with the selection of model and also the parameters evaluation for each component. This research is focused on 500kV metal oxide surge arrester. The data and specification of surge arrester have been obtained from the manufactures which are Toshiba and Siemens. Several models are used to represent surge arrester such as IEEE, Fernandez & Diaz, Pinceti & Giannettoni and Proposed. Models are developed using the Power System Computer Aided Design (PSCAD) software. Simulation on the PSCAD software was conducted to the value of residual voltage and compared with the data obtained from by the manufactures. Surge arrester models are injected by the lightning and switching surge current. The residual voltage of each model was implying by the two impulses current which are lightning 8/20μs and switching 30/60μs. The results were discussed based on literature review and previous findings obtained by the other researchers. It shows that all the models function with a satisfactory accuracy and the differences between models by the parameter’s estimation. The best model is selected by the two impulses current. Fernandez & Diaz model is the best for lightning impulse current and IEEE model is the best for switching impulse current. Findings from this project can be a significant modeling guideline of surge arrester modeling for insulation studies in power systems. This project also can be as reference and guidance for other researchers to make an improvement of surge arrester model.

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