ADVANCED SIMULATION TOOLS FOR POWER SYSTEM STABILITY AND CONTROL: A REVIEW

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Authors: OVIE SUNDAY OKUYADE, Joseph Anirejuoritse Mene, OGHENEVWEDE DERRICK OGHENEOCHUKO, JUDE AZUBIKE OGWU
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Abstract

Using cutting-edge simulation tools, this study provides a comprehensive empirical analysis of power system stability and control mechanisms in contemporary electrical grids. The study looks at 33 recent studies on energy storage systems, control strategies, and the integration of renewable energy that were published between 2023 and 2024. Key findings show that when advanced control algorithms are incorporated into hybrid renewable energy systems, stability improvement rates range from 45-78%. Battery systems achieve 85-95% round-trip efficiency, while energy storage systems display capacity factors between 0.35 and 0.82. According to the analysis of control methodologies, H∞ control systems outperform conventional controllers in terms of disturbance rejection by 23–35%. While offshore wind farms with energy storage achieve 89% reliability indices, virtual power plants show a 67% improvement in grid formation capabilities. With implications for sustainable energy transition and grid modernisation strategies, these quantitative results highlight the crucial role that sophisticated simulation tools play in optimising power system performance.

Fields of Study & Subjects

Microgrid Control and Optimization HVDC Systems and Fault Protection Hybrid Renewable Energy Systems

Publication details

Journal / source
Journal of Engineering Research and Development
Publication date
5 January 2026