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• W4206270285 abstract "Power transformers are of the most critical and expensive equipment in the power system industry. Meanwhile, they are exposed to a variety of faulty and abnormal operating conditions. Therefore, to prevent extension of these events they are protected by different protective schemes. Among the various types of the transformer faults, detecting turn-to-turn faults is the most challenging one for the protection systems. Industrial experiences and standard documents reveal that the existing protection systems include severe shortcomings, and still more efforts are required to offer a reliable method for detecting such faults. To this end, this article puts forward the proposal of a novel turn-to-turn fault detection method to satisfy the basic protection requirements of dependability, security, and speed. This method properly detects the low-level turn-to-turn faults while is stable during system transients and external faults. Performance of the proposed method is evaluated through various experimental and simulation studies. The obtained results verify superior operation of the proposed method under different faults and conditions." @default.
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• W4206270285 date "2022-12-01" @default.
• W4206270285 modified "2023-10-01" @default.
• W4206270285 title "Online Sensitive Turn-to-Turn Fault Detection in Power Transformers" @default.
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• W4206270285 doi "https://doi.org/10.1109/tie.2022.3140504" @default.
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