publication . Conference object . 2019

Line Parameters Estimation in Presence of Uncalibrated Instrument Transformers

Singh, Ravi Shankar; Babaev, Stanislav; Cuk, Vladimir; Cobben, Sjef; van den Brom, Helko; Petrovic, Goran; Ivsic, Branimir; Dadic, Martin;
English
  • Published: 22 May 2019
  • Publisher: IEEE
  • Country: Netherlands
Abstract
This paper presents a method to estimate parameters of a 3-phase line segment using PMU data. The novelty of this method is that it is capable of giving accurate estimates even in the presence of non-calibrated instrument transformers at both ends of the line whose ratio and phase correction coefficients are unknown. To do so, this method adds extra parameters in the regression model. These added parameters account for the errors present in the non-calibrated instrument transformers. In case the instrument transformers are calibrated at one end of the line, then the correction coefficients at the other end could also be estimated. The presented method does not r...
Subjects
free text keywords: Distribution Grid Monitoring, Line Parameter Estimation, PMU, Power System Instrumentation, Artificial Intelligence, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Instrumentation, Atomic and Molecular Physics, and Optics, Regression analysis, Current transformer, Computer science, Control theory, Phase correction, Line segment, Flow (psychology)
Related Organizations
Funded by
EC| MEAN4SG
Project
MEAN4SG
Metrology Excellence Academic Network for Smart Grids
  • Funder: European Commission (EC)
  • Project Code: 676042
  • Funding stream: H2020 | MSCA-ITN-ETN
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