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Meter-transformer connection relationship detection algorithm based on smart meter data

机译:基于智能电表数据的电表连接关系检测算法

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In this paper, we designed an algorithm to detect the meter-transformer relationship. First, the voltage distortion data will be used for preliminary judgment. The voltage distortion data of the central coordinator is compared with the voltage distortion data of each smart meter, and the similarity value between the data will be calculated. Second, we will use the voltage amplitude data to calculate the correlation coefficient between the meter that may be recorded incorrectly. The meter-transformer relationship of the current record is detected by combining the similarity and the correlation coefficient. This algorithm can effectively correct the meter-transformer connection relationship which is incorrectly stored. Simulation and experiment results show that the algorithm has strong versatility.
机译:在本文中,我们设计了一种检测电表与变压器关系的算法。首先,电压畸变数据将用于初步判断。将中央协调器的电压失真数据与每个智能电表的电压失真数据进行比较,并将计算出数据之间的相似度值。其次,我们将使用电压幅度数据来计算可能被错误记录的电表之间的相关系数。通过将相似度和相关系数相结合,可以检测到当前记录的仪表-变压器关系。该算法可以有效地纠正错误存储的电表与变压器的连接关系。仿真和实验结果表明,该算法具有较强的通用性。

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