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A Hybrid State Estimation Strategy With Optimal Use of Pseudo-Measurement
Date
2018-10-25
Author
ÖZSOY, Burak
Göl, Murat
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Despite the rapidly increasing number of PMUs in power grids, it is still not possible to obtain observability in large power systems solely using PMUs. Therefore, use of hybrid state estimators became a necessity to utilize PMUs in power system state estimation. The main challenge in the hybrid state estimation is the mismatch between the refresh rates of the SCADA and PMU measurements. This results in power system unobservability between the instants SCADA measurements are refreshed, even if PMU measurements are received. In this paper, a hybrid state estimator, which employs pseudo-injection measurements during this unobservable duration, is proposed. The pseudo-injection measurements are generated using historical data, and updated during the estimation process using Kalman filter. In order to minimize the biasing effect of those pseudo-measurements, their number is kept at minimum while guaranteeing that the possible most accurate ones are employed.
Subject Keywords
Hybrid state estimator
,
Kalman filter
,
Optimal pseudo-measurement placement
,
PMU
,
Real-time monitoring
URI
https://hdl.handle.net/11511/39971
DOI
https://doi.org/10.1109/isgteurope.2018.8571513
Conference Name
IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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B. ÖZSOY and M. Göl, “A Hybrid State Estimation Strategy With Optimal Use of Pseudo-Measurement,” presented at the IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Sarajevo, BOSNIA & HERCEG, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39971.