Abstract

Synchrophasor data quality has been a big concern for utilities since large scale Phasor Measurement Unit (PMU) deployments have been made. Data quality directly impacts the validity of the applications that are based on synchrophasor data. A recent development of Linear State Estimator (LSE) provides good data validation and conditioning to address such issues. The LSE results provide reliable data to synchrophasor applications, which in turn output reliable results for operators and engineers. The benefits and use cases of leveraging linear state estimation technology for synchrophasor applications are explored in detail in this paper. The LSE has been integrated, tested and validated with historical event data as well as live PMU data at the Bonneville Power Administration (BPA) and Duke Energy. The work addresses PMU data quality issues and hence benefits downstream synchrophasor applications, such as wide-area situational awareness, grid stress monitoring, oscillation analysis, and voltage stability.

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