Optimal power point tracking of solar and wind energy in a hybrid wind solar energy system

Abstract

In recent years, Hybrid\xa0Wind-Solar Energy \xa0Systems (HWSES) comprised of \xa0Photovoltaic (PV) and wind turbines have been utilized to reduce the intermittent issue of renewable energy generation units. The proposed research work provides optimized modeling and control strategies for a grid-connected HWSES. To enhance the efficiency of the maximum power tracking of a grid-connected wind-driven Doubly Fed Induction Generator (DFIG) integrated with solar Photovoltaic (PV) system, connected to the DC link of the back-to-back converters of the Hybrid Wind-Solar Energy System (HWSES). Stator Flux-Oriented control is utilized to regulate the Grid Side Converter and Rotor Side Converter. The main objective of this paper is to apply the \xa0Maximum Power Point Tracking (MPPT) strategy to wind and solar PV systems to maximize the power extraction and to provide better integration of the hybrid systems into the electrical grids. Perturb and Observe (P&O) and Incremental\xa0Conductance (IC) MPPT algorithms are implemented to the solar PV system with varying solar insolation and their performances and efficiencies are compared. For varying wind speeds, Tip Speed Ratio (TSR) and Optimal Torque (OT) MPPT algorithms are implemented and their performances and efficiencies are compared for the hybrid system considering and integrating solar PV system. The optimal torque MPPT algorithm shows better responses when compared to the TSR method. A 2MW simulation model of the HWSES is developed and its performance is analyzed using MATLAB/Simulink environment. The implemented schemes have the advantage of tracking the optimal power output of the HWSES rapidly and precisely. Additionally, the provided schemes effectively control the power flowing through the HWSES and the utility grid, resulting in a quick transient response and enhanced stability performance.