Incentive Analysis of Power Failure in Distribution Network Based on Multi-source Data Fusion

Abstract

Blackout causes more complex problems, for the accurate, early warning of power failure needs to use big data analysis from multi perspective to in-depth analysis of blackouts, try panoramic analysis and its impact on the distribution network power factor. For this reason, a simple and easy method for analyzing the outage risk of distribution network based on multi-source data fusion is proposed in the paper. Based on the method of marketing and distribution through the data, the blackout Scene Building blackout event information is built, and then principal component analysis and logical mature returned is used to distinguish power scenes and the corresponding non-blackout scene, and find the obvious signs before the power outage of distribution network fault warning. The feasibility and correctness of the method proposed in this paper are verified by an example.