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With the continuous construction of intelligent power grids, a large amount of data on power grid operation, production management and market operation have been accumulated in power systems, which are affected by factors such as collection, communication, and environment. There are quality problems in terms of integrity, consistency, and effectiveness of data. In this paper, by studying the characteristics of massive data and data anomaly identification method, a method of error correction for massive data in power grid based on arbitrary partition area is proposed. Taking abnormal data as the center and dividing the area based on the network topology structure, the abnormal data of the network is corrected layer by layer to achieve the purpose of improving the data quality.

Research on Error Correction Method of Massive Data Based on Arbitrary Partition Area