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This letter proposes a new approach for online detection of low-qualitysynchrophasor data under both normal and event conditions. The proposedapproach utilizes the features of synchrophasor data in time and frequencydomains to distinguish multiple regional PMU signals and detect low-qualitysynchrophasor data. The proposed approach does not require any offline studyand it is more effective to detect low-quality data with apparentlyindistinguishable profiles. Case studies from recorded synchrophasormeasurements verify the effectiveness of the proposed approach.

Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity