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August 2, 2026Sustainable Energy ResearchOpen Access

Nonlinear least squares curve fitting method for measuring virtual inertia and damping in renewable energy grid stability studies

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Authors

ZLZifan LiLWLei WangHLHaoyu Liu

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Overview

Randomized trial analyzes inertia and damping in renewable energy systems, suggesting a novel measurement approach.

Key Points

  • The aim is to accurately measure inertia and damping parameters in renewable energy systems for enhanced stability assessment.
  • Proposed a nonlinear least squares curve fitting method for analyzing the unit step response.
  • Examined the system under grid-connected and islanded modes with different damping states.
  • Introduced a qualitative method for separately identifying system inertia and damping parameters.
  • Validation of the proposed measurement method through multiple simulations and experiments across various parameters.
  • Demonstrated improved accuracy in determining system inertia J and damping coefficient D.
  • Effectiveness of the method confirmed under diverse operational scenarios.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a6eea811b0468a7eeab2d8ahttps://doi.org/10.1186/s40807-026-00259-2
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