Distribution Network Operation Safety Evaluation Method based on Big Data Analysis

Aiming at the problems of large-scale distribution network operation data, such as different sampling scales, data errors and data dispersion, this paper proposes a distribution network operation safety evaluation method based on big data analysis. We make an in-depth analysis on the data sources and collection methods of distribution network, and focus on the filtering of bad data identification in multi-source data fusion. Then, association rules are established according to the operation state of intelligent distribution network to realize the division of extended clustering. Finally, combined with different data sources, the steps and framework of distribution network operation state evaluation are proposed, and the computing platform required for big data analysis is established. The test results show that the scheme effectively improves the ability of distribution network data analysis and mining, which can provide data support for distribution network planning and safe operation.