Optimizing power generation in a hybrid solar wind energy system using a DFIG-based control approach

The rising demand for renewable energy has recently spurred notable advancements in hybrid energy systems that utilize solar and wind power. The Hybrid Solar Wind Energy System (HSWES) integrates wind turbines with solar energy systems. This research project aims to develop effective modeling and control techniques for a grid-connected HSWES. The goal is to optimize power tracking efficiency in an electrically linked solar photovoltaic system combined with a wind-powered Doubly Fed Induction Generator (DFIG). The back-to-back ([Formula: see text]) converters' DC link is connected to this to integrate the solar photovoltaic (PV). The study controls the rotor and grid converters via a vector control technique. This study aims to optimize power extraction efficiency and hybrid system integration with electrical grids by applying the Maximum Power Point Tracking (MPPT) technique to solar and wind systems. Combining the control strategy with the optimization algorithm makes our work new and compelling. We utilized this technology with a focus on optimization to evaluate how our system performs when applying optimization techniques to the control strategies. We optimized the solar system using the conventional Perturb and Observe (P & O) method and the metaheuristic Particle Swarm Optimization (PSO) technique. Our primary objective was to validate the effectiveness of the optimization process in enhancing the control strategy. The paper investigates the applications of Particle Swarm Optimization (PSO) and Perturb and Observe (P & O) algorithms in solar photovoltaics under constant and real-time sunlight. The hybrid Indirect Speed Controller MPPT algorithms are utilized for step-up and step-down wind speeds. An HSWES simulation is used to confirm the effectiveness and efficiency of the recommended regulation technique. The suggested control approach is simulated using the Sim Power of the MATLAB/Simulink platform. The advantage of the established techniques lies in their capacity to swiftly and precisely monitor the ideal power output of the HSWES. The comprehensive simulations conducted provide compelling evidence for the efficacy of the proposed system in attaining optimal efficiency and stability, propelling the progress of sustainable energy solutions.