Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm

Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm

Abstract Modern power systems must be resilient to sudden load variations in order to keep the system stable. For Automatic Generation Control (AGC), single load change is impractical and need further analysis. This study comprehensively explore the performance of AGC in a two-area interconnected po...

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Bibliographic Details
Main Authors: Muhammad Ayaz, Dur-e-Zehra Baig, Syed Muhammad Hur Rizvi, Salah S. Alharbi, Sheeraz Iqbal, Md. Shafiullah
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-03608-1
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