论文标题
考虑频率相似性的低质量同步声数据的在线检测
Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity
论文作者
论文摘要
这封信提出了一种在正常情况和事件条件下在线检测低质量同步数据的新方法。所提出的方法利用时间和频域中的同步声数据的特征来区分多个区域PMU信号并检测低质量的同步声数据。所提出的方法不需要任何离线研究，并且检测具有明显无法区分的低质量数据更有效。记录的同步测量测量结果验证了所提出的方法的有效性。
This letter proposes a new approach for online detection of low-quality synchrophasor data under both normal and event conditions. The proposed approach utilizes the features of synchrophasor data in time and frequency domains to distinguish multiple regional PMU signals and detect low-quality synchrophasor data. The proposed approach does not require any offline study and it is more effective to detect low-quality data with apparently indistinguishable profiles. Case studies from recorded synchrophasor measurements verify the effectiveness of the proposed approach.
