Data generation for stability studies of power systems with high penetration of inverter-based resources

International Journal of Electrical Power & Energy Systems 2026 Open access

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Authors: Francesca Rossi, Mauro Garcia Lorenzo, Eduardo Iraola de Acevedo, Elia Mateu Barriendos, Vinicius Albernaz Lacerda, Francesc Lordan–Gomis, Rosa Badia, Eduardo Prieto-Araujo
DOI: 10.1016/j.ijepes.2026.111931
Cited by: 1
References: 15

Abstract

• An open-source HPC-enabled framework generates stability datasets for IBR-rich grids. • A scalable operating-space formulation reduces dimensionality while retaining key dynamic features. • The operating space captures the effects of IBR penetration, control tuning, and GFM/GFL control roles. • Adaptive, sensitivity-guided and entropy-based sampling targets the small-signal stability boundary. • Machine-learning models trained on the data reach up to 92% stability accuracy.

Fields of Study & Subjects

Power System Optimization and Stability Microgrid Control and Optimization HVDC Systems and Fault Protection

Publication details

Journal / source
International Journal of Electrical Power & Energy Systems
Publisher
Elsevier BV
Volume
178
Pages
111931–111931
Publication date
1 May 2026
Language
EN