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Fault diagnosis in bipolar HVDC systems based on traveling wave theory by monitoring data from one terminal by Júlio César Cândido Vieira; Damásio Fernandes; Washington Luiz Araújo Neves; Felipe Vigolvino Lopes is a Engineering article available to read on EtoBox.

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This paper proposes a method for detecting, classifying and locating incident faults on transmission line (TL) of a bipolar HVDC system. This method is based on the traveling waves theory and uses the redundant discrete wavelet transform to filter voltage signals monitored at only one system terminal. The model represents the Brazilian HVDC system of the Madeira River, which is simulated in the Alternative Transient Program (ATP). Different fault scenarios are analyzed, being generated by varying type, resistance and fault location. Moreover, in order to make the simulation more realistic, the TL is modeled based on frequency dependent parameters. Thereby, the impacts of line parameter uncertainties and transient attenuation on the proposed method are analyzed. From the obtained results, it is concluded that the method correctly detects all fault types through the use of a self-adaptive detection threshold. Furthermore, it is verified that the self-adaptive threshold detects the fault times instants with an efficiency superior to the fixed threshold. In the classification step, all faults were correctly classified through rules elaborated based on the voltage variation level. Final

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Author

Júlio César Cândido Vieira; Damásio Fernandes; Washington Luiz Araújo Neves; Felipe Vigolvino Lopes

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)