Grid Impedance Estimation and Stability Assessment in Power Systems

Summary

Grid impedance estimation and stability assessment constitute pivotal elements in the design, operation and integration of modern power systems. As renewable energy sources and power-electronics converters proliferate, the effective matching of converter admittance to the dynamic grid impedance becomes essential to avoid oscillations, resonance phenomena and poor power quality. Grid impedance varies with network topology, loading conditions and the presence of parallel generation units, making real-time estimation techniques indispensable for adaptive control and islanding detection. Stability assessment increasingly relies on impedance-based methods that combine small-signal modelling with frequency-domain analysis, such as Nyquist and Bode criteria, to predict interactions between inverters and the network. Practical applications span from microgrid resilience and anti-islanding schemes to wide-area monitoring in weak‐grid scenarios, contributing to enhanced reliability, efficient integration of distributed resources and global decarbonisation goals.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Grid Impedance Estimation and Stability Assessment in Power Systems publication trend

The graph below shows the total number of articles in grid impedance estimation and stability assessment in power systems across all publications each year (not limited to Nature Index journals).

Technical terms

Grid impedance: The frequency-dependent equivalent impedance presented by the power network as seen from a point of coupling, affecting converter interactions and resonance behaviour.

Admittance: The inverse of impedance, representing how easily a system allows current to flow under applied voltage, often analysed in converter output models.

Phase-locked loop (PLL): A control algorithm that synchronises converter reference signals with grid voltage phase and frequency, influencing output admittance and potential negative-resistance effects.

Positive- and negative-sequence control: Techniques that decompose three-phase signals into balanced components to enable accurate impedance estimation under unbalanced conditions.

Power hardware-in-the-loop (PHIL): A real-time experimental framework where physical converters interact with simulated network models, facilitating dynamic impedance and stability measurements.

Small-signal stability: Analysis of system response to infinitesimal perturbations, typically via eigenvalue or frequency-domain methods, to determine damping and oscillatory modes.

References

  1. Grid impedance estimation for islanding detection and adaptive control of converters. IET Power Electronics (2017).
  2. Online Parametric Estimation of Grid Impedance Under Unbalanced Grid Conditions. Energies (2019).
  3. Review of Local Network Impedance Estimation Techniques. IEEE Access (2020).
  4. Hardware-in-the-Loop Methods for Stability Analysis of Multiple Parallel Inverters in Three-Phase AC Systems. IEEE Journal of Emerging and Selected Topics in Power Electronics (2020).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.