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March 6, 2026IET conference proceedings.0 citations

Impact of converters fast control loops on power system stability and slow dynamics

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YLYahya LamraniÉlectricité de France (France)JHJulien HisÉlectricité de France (France)HFHicham FakhamArts et Métiers

Key Points

  • The research aims to assess the appropriateness of RMS models in analyzing slow dynamics influenced by fast control loops in converter-dominated power systems.
  • Modeled a generic grid-following converter using both EMT and RMS approaches.
  • Conducted state-space analysis focusing on the effects of current control.
  • Performed comparative simulations using EMT and RMS models.
  • Current control significantly affects slow dynamic modes in RMS models.
  • Findings challenge the assumption that RMS models adequately represent slow dynamics under high PEIR penetration.
  • EMT simulations reveal limitations of RMS modeling in capturing critical dynamics.

Abstract

The increasing integration of renewable energy sources has led to a rise in Power Electronics Interfaced Resources (PEIR), challenging traditional Root Mean Square (RMS) based modelling and stability analysis. Unlike synchronous machines, PEIR display fast dynamics across a wide frequency range, necessitating Electromagnetic Transient (EMT) models to capture high-frequency phenomena. Despite this, RMS models are still widely used to study slow system dynamics, even under high PEIR penetration. This study evaluates the adequacy of RMS models for analyzing slow dynamics in converter-dominated systems, focusing on Grid-Following (GFL) control schemes. A generic GFL converter is modeled in EMT and simplified to RMS. State-space analysis reveals that current control, a fast control loop often simplified in RMS models, affects slow modes, challenging the assumption that RMS models accurately capture slow dynamics. Comparative EMT and RMS simulations confirm these initial findings, underscoring the limitations of RMS models and the importance of considering fast control dynamics, even in slow timescale studies.

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Cite This Study

Lamrani et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f3c531e4c4a9ff594e4https://doi.org/10.1049/icp.2025.4282
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