"Advanced Control Strategies for Grid-Connected Renewable Energy Systems using Power Electronics and Artificial Intelligence"

Abstract: This paper presents the detailed modelling and simulation of a hybrid renewable energy-based microgrid integrating solar photovoltaic (PV), wind energy generation, battery energy storage, and conventional grid supply. The system is developed using the MATLAB/Simulink environment, enabling accurate representation of dynamic system behavior and real-time performance analysis. Advanced control strategies are implemented using PID controllers combined with logic-based switching mechanisms to ensure efficient coordination among multiple energy sources. A priority-based energy management system (EMS) is designed to maximize the utilization of renewable energy while maintaining system stability and reliability under varying operating conditions.

The proposed system is evaluated under six distinct operational scenarios, including variations in solar irradiance, wind speed, load demand, and battery state of charge. These scenarios help analyze the system’s adaptability and robustness in real-world conditions. Simulation results demonstrate that the hybrid microgrid effectively reduces dependency on grid power, enhances energy efficiency, and ensures continuous power supply even during fluctuations in renewable sources. Furthermore, the integration of intelligent control improves overall system reliability, optimizes power flow, and contributes to sustainable energy management.

Keywords: Renwable Energy; Energy Efficiency; Solar Power Generation;MATLAB/Simulink; Energy Management System