Region-Based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-Forming and Grid-Following Inverters

Lizhi Ding, Yuxi Men, Yuhua Du, Xiaonan Lu, Bo Chen, Jin Tan, Yuzhang Lin

Research output: Contribution to conferencePaperpeer-review

12 Scopus Citations

Abstract

In this paper, distribution system stability considering mixed grid-forming (GFM) and grid-following (GFL) inverters is discussed. A holistic small-signal model of the distribution feeder accommodating both GFM and GFL inverters is derived. In contrast to conventional point-by-point stability analysis, a region-based stability assessment approach is proposed and implemented to evaluate small-signal system stability with both GFM and GFL controls. Furthermore, to enhance the computational efficiency, an Artificial Intelligence (AI) assisted Kernel Ridge Regression (KRR) approach is developed to obtain the stability region boundary. Therefore, with the derived stability region, the impact of critical parameters on system stability is intuitively shown, and more importantly, the relationship between the maximum penetration level and the corresponding feasible range of the selected control parameters can be quantified. The proposed approach has been validated using MATLAB/Simulink.

Original languageAmerican English
Pages3733-3740
Number of pages8
DOIs
StatePublished - 11 Oct 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 11 Oct 202015 Oct 2020

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period11/10/2015/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

NREL Publication Number

  • NREL/CP-5D00-78688

Keywords

  • grid-following
  • grid-forming
  • kernel ridge regression
  • small-signal stability
  • stability region

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