A Fuzzy Maximum Power Point Tracker for Photovoltaic Systems

Ioannis E. Karagiannis and Peter P. Groumpos


Photovoltaics, Intelligent control, Fuzzy systems, Maximum power point tracker


Global energy demand has increased enormously in recent years. Photovoltaic (PV) Systems is a promising energy source. PV characteristics are briefly outlined. A conventional Maximum Power Point Tracker (MPPT) takes into consideration the optimum performance the PV system can score in Standard Test Conditions (STC). A new Fuzzy Maximum Power Point Tracker is developed in order to achieve interaction with real environmental parameters (external conditions).To improve the system’s performance, the proposed Fuzzy Logic Controller (FLC) allows the PV system to adapt to environmental conditions by taking into consideration current load, insolation, temperature, wind and possible shades covering the photovoltaic panels. Simulation results confirm the effectiveness and usefulness of the proposed new Fuzzy MPPT system.

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