Solar and wind energy are one of the most promising renewable energy resources due to their simplicity and advancement in their field. Solar energy and wind power have the highest growth rate among renewable energy resources. Solar and wind energy systems have a variety of applications. The two major areas of application for photovoltaic (PV) systems are stand-alone (water pumping, street lighting, electric vehicles, and space applications) and grid-connected configurations (hybrid systems, power plants). However, PV and wind turbine modules do not generate a constant amount of power. Their output is directly affected by factors including the position of the sun, cloud cover, wind speed, and the clarity of the atmosphere. Wind turbine modules’ speed power characteristics are nonlinear and change with wind speed. The same applies to the voltage-power characteristic of the PV modules which vary with irradiation and temperature. For both cases, there is only one operating point, known as the Maximum Power Point (MPP), at which the PV and wind turbine modules operate at maximum efficiency. The location of the MPP is unknown but can be located, through the use of calculation models or search algorithms. Energy systems do not naturally operate in this condition. Therefore, a maximum power point tracking (MPPT) controller is required to locate the optimal operating point such that the maximum power can be extracted at different operating conditions. The power extracted from solar and wind energy systems varies with the change of the weather, reducing the efficiency of the system. As a result, an energy-efficient method is required to locate the optimal operating point to extract the maximal amount of energy under different atmospheric conditions. This Matlab design proposes a modified perturb and observe maximum power point tracking controller for wind and solar-wind hybrid energy systems. The controller uses a modified fixed perturb and observe method to reach MPP by varying the duty cycle of each input module. The performance of MPP can be observed from the below simulation video demo.

Reference Paper: A New Modified Maximum Power Extraction Technique for Wind and Hybrid Renewable Energy Systems
Author’s Name: Kajanan Kanathipan and John Lam
Source: IEEE

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SIMULATION VIDEO DEMO