Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis（1）
The 6th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2014)——In this talk, our previous work on Principal Component Analysis (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor measurements. In the previous work, a static PCA model was built and verified to be capable of detecting and extracting system faulty events; however the false alarm rate is high. To address this problem, this talk uses a well-known ‘time lag shift’ method to include dynamic behavior of the PCA model based on the synchronized measurements from Phasor Meas-urement Units (PMU), which is named as the Dynamic Principal Component Analysis (DPCA).
关键词： 电力系统动态监测 PCA模型 同步测量动态行为 分布式发电 主成分分析 The 6th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2014)
主讲人：Prof. Kang Li 机构：Queen's University Belfast
时长：0:14:36 年代：2014年
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