A Data-driven Approach to Grid Impedance Identification for Impedance-based Stability

Challenge and objectiv

  • Instability caused by inappropriate damping design of grid-connected converters under specific grid impedance makes the grid impedance estimation a crucial issue.

Work performed

  • To guide the design of system controllers to reach a more stable and adaptive system. To deal with various operating conditions, a three-stage data-driven approach for grid impedance identification with three different frequency ranges is proposed. The motivation is to take advantage of massive data coming from measurement and/or simulation.

Significant results

  • Clustering is used to partition the processed impedance data.
  • A high order grid impedance model is generated for each frequency range, in accordance with the practice of resonance mitigation design.

Impact for distribution system innovation

  • A more stable and flexible system is achieved by an improved controller design and tuning.

Oddbjørn Gjerde

WP2 Lead
+47 99 730 027
Oddbjørn Gjerde
WP2 Lead


Reference in CINELDI