Voltage Stability Assessment in Modern Power Systems: A Structured Review of Methods and Indices
The increasing penetration of inverter-based resources and the growing complexity of modern power systems have made voltage stability assessment a critical aspect of transmission network operation. This paper presents a review of the main methods and indices adopted for voltage stability assessment, with emphasis on their applicability to real-time monitoring and inverter-dominated grids. The review covers both long-term and short-term voltage stability approaches, including L-index methods, Jacobian- and singular-value-based techniques, Lyapunov-exponent-based methods, trajectory-based indices, and recent artificial intelligence applications. For each method, the main advantages, limitations, computational requirements, and suitability for PMU-based monitoring are discussed. The analysis shows that no single indicator can fully describe all voltage instability phenomena. Instead, combining complementary static and dynamic indices provides a more complete basis for wide-area monitoring and real-time operational support in future power systems. Moreover, the main open challenges related to threshold definition, robustness under evolving grid conditions, and the integration of data-driven techniques into operational stability assessment schemes are discussed.
Authors
- Annalisa Liccardo (ORCID: https://orcid.org/0000-0003-1270-4948)
- Cosimo Pisani (ORCID: https://orcid.org/0000-0003-2964-9025)
- Giorgio Maria Giannuzzi (ORCID: https://orcid.org/0000-0003-0314-4483)
- Davide Lauria (ORCID: https://orcid.org/0000-0003-4579-0440)
- Guido Coletta (ORCID: https://orcid.org/0000-0002-9125-4334)
- Salvatore Tessitore (ORCID: https://orcid.org/0000-0002-3674-9211)
- Francesco Bonavolontà (ORCID: https://orcid.org/0000-0003-0666-0942)
Institutions
- Terna (Italy) (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Energies
- Published
- 2026-08-27
- DOI
- https://doi.org/10.3390/en19174025
- Primary Topic
- Power System Optimization and Stability
- Type
- article
- Field-Weighted Citation Impact
- 0.00