Abstrakti
Grid impedance is an important parameter which affects the control performance of grid-connected power converters. Several methods already exist for optimizing the converter control system based on knowledge of grid impedance value. Grid impedance may change rapidly due to fault or disconnection of a transmission line. Therefore, online grid identification methods have been recently proposed to have up-to-date information about the grid impedance value. This is usually done by perturbing the converter output current and measuring the response in output voltage. However, any parallel converters connected to the same interface point will cause errors, since the measured current differs from the current that is flowing through the grid interface point. This paper points out challenges and errors in grid impedance identification, caused by parallel converters and their internal control functions, such as grid-voltage support. Experimental grid-impedance measurements are shown from the power hardware-in-the-loop setup developed at DNV-GL Flexible Power Grid Lab.
Alkuperäiskieli | Englanti |
---|---|
Artikkeli | 2674 |
Julkaisu | Energies |
Vuosikerta | 12 |
Numero | 14 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2019 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
Funding: This research and testing has been performed using the ERIGrid Research Infrastructure, and is part of a project that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement Number 654113. The support of the European Research Infrastructure ERIGrid and its partner DNVGL is very much appreciated. Moreover, part of the study was funded by the Academy of Finland (Mitigation of harmonic resonances in three-phase renewable energy systems, grant number 297054).
Julkaisufoorumi-taso
- Jufo-taso 1
!!ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Energy (miscellaneous)
- Control and Optimization
- Electrical and Electronic Engineering