Automatic Load Frequency Control for Wind-Thermal Micro Grid Based on Deep Reinforcement Learning

Renewable energy demand keeps increasing each day due its significances over the conventional sources of energy, particularly in this era where world is faced with many challenges related to clean energy. Among Energy Resources (RERs), wind has proven be cheaper and readily available. However, it intermittent nature therefore affecting voltage frequency stability microgrid systems, especially occurrence power ramping events. In work, a simple Deep Reinforcement based Automatic Load Frequency Controller (DRL-ALFC) designed so as improve an ALFC during events wind-thermal micro grid. A DRL-ALFC for verified MATLAB/Simulink environment shows ability adapt variations fluctuation load.