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Paper FriS1T2.3

Bento, Murilo E. C. (Federal University of Rio de Janeiro)

Computing the Load Margin of Power Systems Using Golden Jackal Optimization

Scheduled for presentation during the Regular Session "High renewable energy penetration grid analysis and stability" (FriS1T2), Friday, July 12, 2024, 09:40−10:00, Grand Amphitheater

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Keywords Artificial Intelligence in Smart Grids, Stability Analysis and Control in Energy Systems, Modern Heuristics-Based Robust Optimization for Power System Operation and Planning

Abstract

The Load Margin (LM) is an important stability index applied in power systems. The calculation of LM has always been associated with voltage stability studies, but the increase in load can also cause the emergence of poorly damped oscillation modes studied in stability at small signals that can destabilize the power system. This article proposes an optimization model to determine the LM considering jointly the voltage stability and small signal stability thresholds. The bio-inspired algorithm called Golden Jackal Optimization is applied to solve the optimization model. The IEEE 39-bus test system is used for case studies and discussions.

 

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