International Journal of Science, Engineering and TechnologyDeep Forest-Based Automatic Generation Control Strategy
Authors- Research Scholar Hussain Shaik
Abstract- – The current automatic generation control (AGC) method needs to be enhanced and optimized as the power system’s size continues to grow and the energy landscape drastically shifts. The grid AGC in use now primarily uses closed-loop PI control. This research provides a real-time AGC technique based on a deep forest network by learning an outstanding data set that combines the features of DFT control and PI control. The approach chooses the controller for the evaluation cycle for power deviation regulation studies based on which controller performed better in control during each assessment period. The simulation findings demonstrate that the technique outperforms all taught solutions and can accomplish real-time AGC regulation with fewer operations.
DOI: 10.61463/ijset.vol.11.issue6.101
