OPTIMIZATION OF ELECTRIC POWER GENERATION OF A WIND-SOLAR HYBRID SYSTEM

Electrical Engineering

In this article, the hybrid system studied is a combination of two renewable energy sources: photovoltaic and wind. This kind of system is mainly used in autonomous mode in isolated sites. During the day, the photovoltaic generator ensures production, while at night, the wind picks up and the wind turbine takes over, thus compensating for the name productivity of the panel. For the photovoltaic conversion chain, a neural controller is used to monitor the maximum power point, this technique has shown its robustness in the face of variations in external disturbance, it has uniform gaits in steady state. The great advantage of this combination is that our controller quickly reaches the optimal operating point without having to know the power curve or measure atmospheric conditions. For the wind conversion system, it operates at variable speed coupled to a synchronous permanent magnet generator using the fuzzy controller, its performance in terms of speed and precision makes it a better control option than conventional controllers. The latter also need to know the wind speed and the optimal characteristics of the turbine, unlike the command which does not require this data. The change in wind speed can have an effect on the stability of such a mechanical system, yet the flexibility of fuzzy logic has resulted in less loss. The power delivered by each source is controlled by having incorporated maximum power tracking commands. In terms of hybridization, the two sources complement each other at the same time, the pursuit of maximum power for each of them to give a better performance for the whole system.

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