AI-Enhanced Frequency Control in Integrated Wind and Solar Power Systems for Efficient Energy Generation

This study studies frequency manipulation approaches inside an integrated wind and solar energy machine, focused at the dynamic conduct of System A. Through complete simulation analyses making use of PSCAD/EMTDC software program, two superb manage strategies are evaluated: a notch clean out and deadband manipulate. Real wind velocity and photovoltaic output information from Pollachi wind and solarn plant, increase the realism of the simulations. Comparative evaluations, given in Tables five and six, show that the deadband manage mechanism exceeds the notch filter in suppressing frequency variations and decreasing High Voltage Direct Current (HVDC) line energy go with the flow oscillations. The deadband control, by means of actively inhibiting any frequency additions beyond a specified threshold, demonstrates increased flexibility and effectiveness. Results reveal that this strategy delivers a slightly enhanced overall performance in preserving machine frequency balance as compared to the notch clear out. These results contribute to the improvement of frequency management approaches in integrated renewable power architectures, providing vital insights for boosting balance and efficiency. The versatility and robust overall performance of the deadband manage mechanism showcase it as a potential alternative for actual-world programs, enabling dependable and resilient operation in strong structures including wind and sun energy assets.