Title : Improved performance analysis of P&O and fuzzy logic based MMPT techniques for photovoltaic energy systems under dynamic irradiance
Abstract:
The main advantage of using fuzzy controller for instance solar is the reduction of effect of uncertainty in system control. This paper presents a comparative study between two controller’s methods for Maximum Power Point Tracking (MPPT) for photovoltaic (PV) systems which maximizes the power that can be transferred from the PV system to an electrical system. There are many innovative methods and all of them use this fact that the power voltage curve slope has a value of zero in the maximum point. In a generalized classification, this method can be divided into for mains categories: Control Algorithm, Control variable, Math-based methods, and intelligent control. Serial or parallel cells generate photovoltaic array in order to receive more power. Fuzzy method is much sought after due to its suitable answer towards uncertainty present in the system and it’s desirable speed and precision. A control scheme is presented which allows better control of the converter current reference using voltage and current from the PV system as inputs. The performance of the proposed FLC is tested by simulation and the results show that the FLC is faster in finding the maximum power point than the conventional perturbation and observation method.
