Analysis of multi-converter network impedance using MIMO stability criterion for multi-loop systems

Henderson, Callum and Egea-Alvarez, Agusti and Xu, Lie (2022) Analysis of multi-converter network impedance using MIMO stability criterion for multi-loop systems. Electric Power Systems Research, 211. 108542. ISSN 0378-7796 (https://doi.org/10.1016/j.epsr.2022.108542)

[thumbnail of Henderson-etal-EPSR-2022-Analysis-of-multi-converter-network-impedance-using-mimo-stability-criterion-for-multi-loop-systems]
Preview
Text. Filename: Henderson_etal_EPSR_2022_Analysis_of_multi_converter_network_impedance_using_mimo_stability_criterion_for_multi_loop_systems.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (2MB)| Preview

Abstract

This work presents a novel method of simplifying multi-converter systems containing complex grid-forming and grid-following controllers for stability analyses. Analysis is conducted via the equivalent converter output impedance. Important points for impedance-based stability analysis of larger networks are considered, including impedance rotations, proper combination of sources and correctly obtaining a minimum system realisation with appropriate tolerances. The proposed method is used to conduct a sensitivity analysis of different grid-forming and grid-following converter control parameters to determine tuning recommendations for the modern electricity network. To achieve this, complex control structures including power/voltage control, negative sequence regulation and synchronous machine emulation are included. Network stability is found to be sensitive to current control, active power control and frequency-based components such as PLLs. However, voltage control exhibits a smaller effect on stability for a range of short circuit ratios. Some recommendations are provided on when the simplified method can be utilised and how to ensure correct application.

ORCID iDs

Henderson, Callum, Egea-Alvarez, Agusti ORCID logoORCID: https://orcid.org/0000-0003-1286-6699 and Xu, Lie ORCID logoORCID: https://orcid.org/0000-0001-5633-7866;