Improving AGC Performance in Two-Area Power Systems by Harnessing ANFIS Controller and Renewable Energy Source Integration
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2014, Vol 10, Issue 11
Abstract
In modern power systems, maintaining stability and optimal performance amidst increasing demand and renewable energy integration presents significant challenges. This study explores the enhancement of Automatic Generation Control (AGC) in a two-area power system by implementing an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. The ANFIS controller leverages the strengths of both neural networks and fuzzy logic to dynamically adapt and optimize AGC performance. Additionally, the integration of renewable energy sources, such as wind and solar power, is investigated to assess its impact on system stability and reliability. Simulation results demonstrate that the ANFIS controller significantly improves the AGC response, reducing frequency deviations and inter-area power oscillations more effectively than conventional PID controllers. Furthermore, the inclusion of renewable energy sources, supported by robust ANFIS control, enhances the sustainability and resilience of the power system. This dual approach not only ensures efficient load-frequency regulation but also supports the transition towards greener energy systems. The findings underscore the potential of intelligent control strategies and renewable integration in advancing the performance and sustainability of future power grids.
Authors and Affiliations
Dr. J. Srinu Naik, B. Venkata Ashok Vardhan, K. Anusha, B. Shekar and K. Bhargav
Keywords
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- EP ID EP752217
- DOI https://doi.org/10.46501/IJMTST1011008
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