Abstract:
Maximum power point tracking (MPPT) must usually be integrated with photovoltaic
(PV) power systems so that the photovoltaic arrays are able to deliver the maximum power
available. This paper proposes two methods of maximum power point tracking using a fuzzy logic
and a neural network approach for photovoltaic (PV) module ATERSA75 using MATLAB
software. The two maximum power point tracking controllers receive solar radiation and
photovoltaic cell temperature as inputs, and estimated the maximum power point and the current
and voltage corresponding to it as outputs. The new method gives a good maximum power
operation of any photovoltaic array under different conditions such as changing solar radiation and
PV cell temperature. From the simulation and experimental results, the Neural Network approach
can deliver more power than the fuzzy system and can give more power than other different
methods in literature
