Abnormal Distribution SCADA Data Correction by PMU Data and the Improved FCM Method

Recently, phasor measurement units (PMU) have been gradually applied in active distribution networks for their high sampling frequency and accuracy. But due to a relatively high cost, PMU devices are only placed at important nodes across distribution networks. In contrast, SCADA systems have more mature and widespread distribution applications, but with a basic data sampling performance as a result of limited techniques. To maximize the benefits of PMU adoption, this study proposes a correction strategy of abnormal SCADA data in active distribution networks with the assistance of PMU data. Specifically, the pseudo measurement data of neighboring nodes is firstly obtained through power flow calculation based on the PMU measurement data, and further improved by the least square estimation approach. The vertical comparison method is then employed to identify and correct the abnormal PMU measurement data which ensures the quality of massive pseudo measurement data. On this basis, SCADA data is corrected, considering the sample frequency differences between SCADA and PMU. Finally, the performance of the proposed data correction strategy is tested by detailed simulations.