刘洋;赵艳雷;王舢姗;凌平;

• 1:山东理工大学电气与电子工程学院
• 2:国网上海市电力公司电力科学研究院

摘要(Abstract)：

针对主动配电网故障时刻确定和故障区域识别问题,将数据统计理论应用于同步数据的故障特征提取上,提出了一种使用同步数据统计特性进行主动配电网故障区域和故障时刻判别的方法。该方法首先使用微相量测量单元的量测数据构建历史数据集和在线数据集,然后通过求解在线数据相对历史数据的最大方差偏离方向来实现对系统运行状态的评价。为求解方向问题,文中将最大方差偏离方向问题转化为广义特征值求解问题,并建立基于协方差矩阵最大奇异值的比率的评价指标,最后根据综合评价指标确定故障发生时刻和故障区域。通过改进的IEEE 34母线系统对方法的有效性和准确性进行验证,结果表明所提时间确定和故障区域定位方法具有自适应性且是准确可靠的。

关键词(KeyWords)： 主动配电网;同步数据;最大方差偏离;故障诊断;统计特性

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2107YFB0902800)~~

作者(Author): 刘洋;赵艳雷;王舢姗;凌平;

Email:

DOI: 10.13335/j.1000-3673.pst.2018.2736

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