4.6 Article

Identifying DQ-Domain Admittance Models of a 2.3-MVA Commercial Grid-Following Inverter via Frequency-Domain and Time-Domain Data

Journal

IEEE TRANSACTIONS ON ENERGY CONVERSION
Volume 36, Issue 3, Pages 2463-2472

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2020.3048389

Keywords

Admittance; frequency scan; grid-following inverter; system identification

Funding

  1. National Renewable Energy Laboratory
  2. U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
  3. U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office [DE-EE0008771]

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This paper presents two methods for identifying the admittance of a commercial grid-following inverter using frequency-domain and time-domain data, which can be used for cross validation. Frequency-domain admittance measurements can provide valuable information about operating conditions.
In this paper, we present two methods to identify the admittance of a 2.3-MVA commercial grid-following inverter through frequency-domain data and time-domain data. In addition to the well-known harmonic injection method to obtain the admittance at frequency points followed by vector fitting, we adopt a step response-based method where the step response data of the converter are collected and their s-domain expressions are obtained. In turn, the s-domain admittance model of the converter is found. The two methods can be used for cross validation. Step responses and frequency-domain responses obtained from the two methods are compared. Results show that the time-domain data-based method leads to an admittance comparable with that from the frequency-domain measurement in the range less than 60 Hz. In addition, two insights are obtained from the frequency-domain admittance measurements. First, when the dq-frame is aligned to the point of common coupling (PCC) voltage, the per unit DQ-domain admittance directly reflects operating conditions. Second, existence of negative-sequence control can be detected via sequence-domain admittances.

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