RT24 India | Advanced Control Strategies for Load Frequency Regulation in Renewable Energy Integrated Hybrid Power Systems and Networked Microgrids

The integration of renewable energy sources into hybrid power systems presents significant challenges in maintaining load frequency stability due to their intermittent and unpredictable nature. This work developed advanced control strategies to address these challenges effectively. A selfadaptive PID controller, optimized using recurrent neural network (RNN), is proposed to enhance system performance. Additionally, a hybrid optimization approach combining Moth Flame Optimization (MFO) and Generalized Hopfield Neural Networks (GHNN) is introduced to design a Fractional Order PID (FOPID) controller, providing superior adaptability and robustness.