ABSTRACT
This article describes a revolutionary solution for Load Frequency Control (LFC) in Power system and encourage Artificial Neural Network (ANN) to effectively manage the complex problems that arise in modern grid operations. ANN, with its capability to detect complex patterns and tune to changes in system, offer the promise of upturning conventional control approaches. The proposed ANN framework offers a new way to keep the system stable by re-optimising control actions in real-time. Training it appropriately using accurate historical data and detailed system behaviour, ANN can accurately predict system behaviour in the future and create the most efficient control signals, reducing frequency deviations and increasing grid stability. ANN can learn from the data and continuously adjust control actions, so the frame-work could potentially improve system stability, speed of response, and resilience to disturbance. This ANN-based LFC will help build more secure and resilient grid infrastructures.
