4.6 Article

A practical validation method of estimated primary samples obtained by DSE-based instrumentation channel error correction

Journal

ELECTRIC POWER SYSTEMS RESEARCH
Volume 202, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2021.107579

Keywords

Substation with MU; Instrumentation channel error; Estimated primary samples validation; SDSE

Ask authors/readers for more resources

This paper presents a practical validation procedure for the estimated primary samples obtained by DSE-based instrumentation channel error correction. The proposed validation method compares substation-wide dynamic state estimation results using legacy primary samples and estimated primary samples, deriving three validation indicators to validate the estimated samples. Verification results have been demonstrated through numerical experiments.
This paper presents a practical validation procedure of the estimated primary samples obtained by DSE-based instrumentation channel error correction. With our previously published research of DSE-based instrumentation channel error correction, the accurate estimation of primary samples can be obtained. The conventional way to validate the estimated primary samples relies on comparing the estimated primary samples with the actual ones. However, this conventional validation method won't work in industry practice since the actual primary samples cannot been known in industry field. The proposed validation procedure aims to validate the estimated primary samples without the knowledge of actual primary samples. The proposed validation method is based on the comparison of substation-wide dynamic state estimation (SDSE) results obtained using the legacy primary samples and the estimated primary samples, respectively. The proposed method derives three validation indicators to validate the estimated primary samples. The validation results have been demonstrated by numerical experiments.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available