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• W4310608273 abstract "The work encompassing a novel method to locate fault distance for bipolar LCC – HVDC transmission lines using single terminal DC current signals and the nearest neighbor searching (NNS) algorithm has been proposed. The power transmission system used for testing is modeled using MATLAB/SIMULINK based on the CIGRE-HVDC benchmark. The inputs used in this work are current signals of only the rectifier end. The features are extracted by taking the root mean square of the current signals first and then obtaining the quarter cycle of signals after the quarter cycle of fault inception. Minimum value of current signals is taken from the quarter cycle samples, which then acts as an input parameter for the NNS-based fault distance estimation process to locate faults. The planned NNS-based fault location estimation method is tested for different fault cases with varying conditions. Percentage error is inside 1% for the test scenarios. Benefit of the proposed approach lies in the fact that it ensures no involvement of a communication link, reach setting is up to 99% of the line length, percentage error is very small, and low cost for implementation. Hence, the proposed NNS-based method can be implemented in LCC – HVDC transmission lines effectively." @default.
• W4310608273 created "2022-12-13" @default.
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• W4310608273 date "2022-12-02" @default.
• W4310608273 modified "2023-09-26" @default.
• W4310608273 title "A Novel Nearest Neighbor Searching‐Based Fault Distance Location Method for<scp>HVDC</scp>Transmission Lines" @default.
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• W4310608273 doi "https://doi.org/10.1002/9781119893998.ch8" @default.
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