Maximum power point tracking algorithms performance comparison for photovoltaic systems under a wide range of dynamic partial shading condition

In the recent decades, the prolonged and increasing energy demand has caused a significant progress in the renewable energy enhancement and production. Photovoltaic (PV) energy is a fair option each time more considered and developed around the world, becoming more and more a viable option due to the economy of scale and the worldwide rising interest in clean and sustainable energy. PV energy harvest and management has great advantages but some clear inconvenient issues, such as the poor efficiency energy conversion that can be originated as a result of the optical and electrical losses. Within these losses, the first one is usually the most complicated to deal with due to the random component bound to its cause, the partial shading problematic. Therefore, shading mitigation techniques appear as an integrated part of the power converting unit, trying to palliate the negative effect on the extracting power efficiency. Up to now a wide range of diverse methods have been proposed and tested through all the literature, even though all these techniques have their own weaknesses. In this thesis work the study of an efficiency comparison of a set of several maximum power point tracking techniques over a wide range of shading speeds through a MATLAB simulation, where it is designed a PV array configuration in three different setups arrangements under some diverse partial shading scenarios is proposed