The design, monitoring, and control of photovoltaic (PV) systems are complex tasks that
are often handled together, and they are made even more difficult by introducing features such
as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This
paper proposes an integrated approach to handle these tasks, in order to achieve a system efficient
in tracking the maximum power and injecting the energy from the PV modules to the grid in the
correct way. Control is performed by means of an adaptive Lyapunov maximum power point
tracking (MPPT) algorithm for the DC/DC converters and a proportional integral (PI) control for
the inverters, which are applied to the system using low latency wireless technology. The system
solution exploits a low-cost wireless multi-sensor architecture installed in each DC/DC converter
and in each inverter and equipped with voltage, current, irradiance, and temperature sensors. A
host node provides effective control, management, and coordination of two relatively independent
wireless sensor systems. Experimental validation shows that the controllers ensure maximum power
transfer to the grid, injecting low harmonic distortion current, thus guaranteeing the robustness
and stability of the system. The results verified that the MPPT efficiency is over 99%, even under
perturbations and using wireless communication. Moreover, the converters’ efficiency remains high,
i.e., for the DC/DC converter a mean value of 95.5% and for the inverter 93.3%.