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Comparison of Power System Current Sensors via Playback of Electrical Disturbances

Conference ·

The need to accurately measure high-frequency content in power system voltage and current phenomena is increasingly becoming more of a priority. As the amount of distributed energy resources (DER) and nonlinear loads penetrating the grid increases, so do challenges associated with traditional measurement and metering applications. In this paper, three commercially-available medium-voltage-level current sensors are characterized in terms of their harmonic amplitude and phase performance against reference signals that are “played back” through the sensors through the use of an arbitrary waveform generator. It is shown that none of the three sensors studied are able to faithfully replicate all of the input signals completely, though there are advantages and disadvantages to each in terms of noise, resonance, and induced phase drift. Additionally, the Goodness-of-Fit metric, typically used for PMU model validation, is used to generate side-by-side comparisons of sensor accuracy over a small window around the events under study.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Electricity (OE)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1881157
Resource Relation:
Conference: 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) - New Orleans, Louisiana, United States of America - 4/25/2022 12:00:00 PM-4/28/2022 12:00:00 PM
Country of Publication:
United States
Language:
English

References (5)

Traceable Characterization of Low Power Voltage Instrument Transformers for PQ and PMU Applications conference August 2020
Compensation of Nonlinearity of Voltage and Current Instrument Transformers journal May 2019
Characterization of Voltage Instrument Transformers Under Nonsinusoidal Conditions Based on the Best Linear Approximation journal October 2018
Characterization of Clamp-On Current Transformers Under Nonsinusoidal Conditions journal January 2009
An Introduction to Goodness of Fit for PMU Parameter Estimation journal October 2017