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Analysis of the Impact of Control Modes of Grid-Forming Inverters in 100% Renewable Energy System on System's Small-Signal Stability

  • Meizhu Song*
  • , Guiqiang Ding
  • , Yanyu Ma
  • , Hengxu Ha
  • *Corresponding author for this work
  • Shandong University
  • China Southern Power Grid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Future 100% Renewable energy power systems will be complex, with many grid-following and grid-forming power electronic devices. When the grid is disturbed, grid-forming inverters support system frequency and voltage. Different grid-forming control strategies impact small-signal stability, so selection criteria for control methods under different operating conditions are needed. This paper models a 100% renewable energy power system with both grid-following and grid-forming devices through mathematical modeling. Using small-signal analysis, it evaluates the impacts of droop control and virtual synchronous control of grid-forming inverters on system stability.

Original languageEnglish
Title of host publication2025 8th International Conference on Energy, Electrical and Power Engineering, CEEPE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages897-901
Number of pages5
ISBN (Electronic)9798331521844
DOIs
StatePublished - 2025
Externally publishedYes
Event8th International Conference on Energy, Electrical and Power Engineering, CEEPE 2025 - Wuxi, China
Duration: 25 Apr 202527 Apr 2025

Publication series

Name2025 8th International Conference on Energy, Electrical and Power Engineering, CEEPE 2025

Conference

Conference8th International Conference on Energy, Electrical and Power Engineering, CEEPE 2025
Country/TerritoryChina
CityWuxi
Period25/04/2527/04/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • grid-forming inverters
  • inverter
  • inverter model
  • small-signal stability

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