Abstract:The traditional prediction of power outage of operation time in 10kV distribution network mainly depends on the early site investigations and experience estimation of the person in charge of the work.With the continuous progress of distribution network operation means and the continuous improvement of power supply reliability and quality service requirements of users, higher requirements are put forward for the fine and accurate prediction of 10kV distribution network outage. In view of the large deviation between the current outage time prediction and the actual completion,this paper presents a method on the prediction of power outage duration of 10kV distribution network based on big data analysis.Through the analysis of power outages in the past three years, the different factors affecting the accuracy of prediction are summarized, from the typical benchmark library of standardized operation time, the optimization adjustment mechanism of standardized operation time, the post-standardization evaluation system and the comprehensive power outage prediction model. In-depth research of four aspects will be carried out to optimize and improve the accurate prediction ability of the comprehensive power outage operation time, and provide a reference and easy-to-operate high-efficiency auxiliary tool for the predictive deviation control of power outage operations.The practical application of production operation shows that this 10kV distribution network power outage planning time prediction method based on big data analysis can better improve the accurate prediction ability of power outage operation time, reduce the reliability prediction deviation, and play the role of reliability target management and control to help power outage. Excellent service work such as information release is carried out accurately.