Abstract: In the analysis of distribution network power supply reliability, traditional analysis methods have problems of incomplete analysis angle and low analysis effectiveness. Therefore, this paper proposes a multi-dimensional big data analysis method for distribution network power supply reliability. In this method, the reliability indexes of distribution network power supply are designed, and the big data analysis method is used to evaluate the distribution network power supply performance. By using the state transition sampling method, the state change sequence of the distribution network power supply system is obtained. The experimental results show that the proposed method can accurately obtain the average outage time and average outage number of users, and accurately analyze the distribution network power supply reliability, which verifies the overall effectiveness of the proposed method.

Key words: distribution network, power supply reliability, multi-dimension, big data analysis, reliability index

摘要： 采用传统分析方法进行配网供电可靠性分析时，存在分析角度不全面、分析有效性较低等问题，为此提出一种配网供电可靠性多维度大数据分析方法。该方法通过设计配网供电可靠性指标，利用大数据分析方法对配网供电性能进行评估，并利用状态转移抽样法获取配网供电系统的状态变化序列。实验结果表明，该方法可准确获取用户平均停电时间、平均停电户数等指标并准确分析配网供电可靠性，验证了方法的整体有效性。

关键词: 配网, 供电可靠性, 多维度, 大数据分析, 可靠性指标