https://adrjournalshouse.com/index.php/Int-Journal-data-mining-computer/issue/feedInternational Journal of Human Computer Interaction and Data Mining2025-07-10T11:36:06+00:00Advanced Research Publicationsinfo@adrpublications.inOpen Journal SystemsInternational Journal of Human Computer Interaction and Data Mininghttps://adrjournalshouse.com/index.php/Int-Journal-data-mining-computer/article/view/2297Implementation of Bacterial Forging Technique for Automatic Generation Control2025-07-10T11:29:10+00:00Gagan Sharmagagansharma573@gmail.comSushil Kumargagansharma573@gmail.com<p>This paper provides a comprehensive overview of Automatic Generation Control (AGC) strategies for power systems, highlighting their importance in balancing generation and load while maintaining system stability. AGC is responsible for controlling frequency and power interchange within a power system, ensuring that they stay within desired limits. Over time, AGC designs have evolved, incorporating advancements such as handling parameter variations, uncertainties, load characteristics, excitation control, and parallel AC/DC transmission links. Modern AGC systems often integrate intelligent control techniques, such as microprocessor-based regulators, self-tuning regulators, and adaptive regulators, to enhance performance and adaptability. The goal of AGC is to maintain the system's frequency within specified bounds and ensure power interchange is at the intended level, thus supporting the power system's overall stability and reliability. In summary, the paper reviews both traditional and contemporary AGC methods, focusing on their role in modern power systems with diverse configurations. It emphasises the need for AGC systems to be supplemented with advanced control strategies to effectively manage the power supply and maintain system reliability.</p>2025-07-10T00:00:00+00:00Copyright (c) 2025 International Journal of Human Computer Interaction and Data Mining