Fast investigation of control interaction risks in PV parks using eigenvalue analysis in Modelica

Masoom A., Mahseredjian J., KARAAĞAÇ U.

ELECTRIC POWER SYSTEMS RESEARCH, vol.251, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 251
  • Publication Date: 2026
  • Doi Number: 10.1016/j.epsr.2025.112316
  • Journal Name: ELECTRIC POWER SYSTEMS RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Environment Index, INSPEC
  • Middle East Technical University Affiliated: Yes

Abstract

This paper contributes to the fast detection of control interaction risk in a PV park using the eigenvalue analysis in Modelica. The entire PV park and its interconnected network are represented by time-domain equations in Modelica, then linearized state space equations are extracted directly by leveraging the Modelica features. This constitutes an advantageous approach for fast finding eigenvalues and extracting potential instability conditions. The presented approach is verified with electromagnetic transient (EMT) simulation and impedance-based stability analysis (IBSA) that uses EMT-type impedance scanning methods. The results show an outstanding improvement in the simulation time and accuracy.