کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
704007 891183 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
State estimation and bad data processing for systems including PMU and SCADA measurements
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
State estimation and bad data processing for systems including PMU and SCADA measurements
چکیده انگلیسی

Conventional state estimators (SE) are based on real-time measurements, consisting of bus voltages and active and reactive power flows and injections, and estimate the voltage phasors of the network buses. Until recently, these measurements were obtained only through SCADA. With the advent of GPS synchronized measurements obtained by phasor measurement units (PMU), effective techniques are required to incorporate the extremely accurate PMU measurements into state estimation, in order to improve its performance and observability. This paper develops a non-linear weighted least squares estimator by modeling the current phasor measurements either in rectangular or in polar coordinates and compares the two approaches. Any numerical problems arised at flat start or for lightly loaded lines, are resolved. The error amplification, due to the current phasor measurement transformation from polar into rectangular coordinates, is also investigated. The normalized residual test is used to effectively identify any bad data in the conventional and phasor measurements. The proposed techniques are tested with the IEEE 14-bus system.


► Phasor measurement units (PMU) improve state estimation performance and observability.
► A WLS estimator models current phasor measurements in rectangular or polar coordinates and compares the two approaches.
► Numerical problems arised at flat start or for lightly loaded lines are resolved.
► Error amplification due to current phasors transformation from polar into rectangular coordinates is investigated.
► Normalized residual test is used to effectively identify bad data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 81, Issue 7, July 2011, Pages 1514–1524
نویسندگان
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