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MACHINE LEARNING BASED METHOD AND DEVICE FOR DISTURBANCE CLASSIFICATION IN A POWER TRASMISSION LINE
MACHINE LEARNING BASED METHOD AND DEVICE FOR DISTURBANCE CLASSIFICATION IN A POWER TRASMISSION LINE
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机译:基于机器学习的动力传输线路干扰分类方法和装置
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摘要
The present specification provides a method and device for determining a disturbance condition in a power transmission line. The method includes obtaining (302) a plurality of sample values corresponding to an electrical parameter measured in each phase. The method further includes determining (304) a plurality of magnitudes of the electrical parameter corresponding to each phase based on the corresponding plurality of sample values and determining (306) a plurality of difference values for each phase based on the corresponding plurality of magnitudes. The method includes processing (308) the plurality of difference values using a machine learning technique to determine the disturbance condition. The disturbance condition is one of a load change condition, a power swing condition and an electrical fault condition. The method also includes performing (310) at least one of a protection function and a control function based on the disturbance condition.
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