Implementation of MPPT Techniques to Improve the Reliability of PV-WIND Hybrid System

The main difficulty in current power systems is that they fail to satisfy increasing load demand and population growth. Therefore, renewable energy sources are alternatives that also satisfy the requirements for environmental pollution and greenhouse effects. Distributed energy systems have become a future energy source because of their free availability and environmental friendliness. Solar and wind energy sources play key roles and are reliable sources for distributed generation (DG) systems. The solar array generates power from the irradiance of the sun, and the wind generates power from the natural environmental wind. A maximum power point tracking (MPPT)-based boost converter was used to get the most power out of DG systems. This paper suggests new control algorithms to boost the efficiency of linked photovoltaic (PV) and wind energy systems, including particle swarm optimisation (PSO) and cuckoo search (CS) strategies. The performance of the control algorithms were tested on a hybrid system of 16 kW PV system and 20kW of wind system with grid under various load conditions using MATLAB/Simulink. The results proved that the cuckoo technique performs better than the PSO.