谢桦,陈昊,张沛

• 1:北京交通大学电气工程学院

摘要(Abstract)：

准确预测配电线路故障概率对于确定配电网运行方式非常重要。本文提出一种基于多源数据挖掘的配电线路时变故障概率计算方法。首先,采用Relief算法筛选出与故障密切相关的特征变量。其次,采用支持向量机法进行配电线路运行工况预测,建立时变故障概率计算模型。最后,以某市配电系统为算例,基于馈线历史数据进行了算法验证。计算结果表明,本文提出的算法可实现线路故障概率的量化计算,从而为系统运行调控人员提供决策依据。

关键词(KeyWords)： 配电线路;时变故障概率;多源数据挖掘;支持向量机;特征变量

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技资助项目(SGZJ0000KXJS1700303)

作者(Author): 谢桦,陈昊,张沛

DOI: 10.19635/j.cnki.csu-epsa.000407

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