Abstract
Among the various renewable energy sources, photovoltaic (PV) systems are experiencing a great expansion, due to their low polluting levels, the abundance of solar energy and the cost decreasing of PV technologies, attracting research and investments in the field. The maximum power generated in a PV panel varies according to irradiation and temperature. Since the conversion efficiency of photovoltaic modules is low, it is necessary to implement sophisticated control techniques for monitoring the maximum power point (MPPT). Maximum power point tracking techniques are automatic control algorithms that adjust power interfaces to achieve the maximum power generation, during variations in irradiation, temperature, and characteristics of the photovoltaic module. The purpose of the MPPT is to adjust the solar panel operating voltage near the maximum power point (MPP) according to environmental conditions. This technique has become an essential component in photovoltaic power system designs. This article presents comparison of the performance of various MPPT tracking methods in photovoltaic systems using the MATLAB/Simulink software and a comparative approach.
Highlights
The use of photovoltaic (PV) systems has been growing in the last decade
The output of the PV array is connected to a DC/DC Boost converter, which is associated with a three-phase inverter that keeps the output capacitor voltage constant
The data of the photovoltaic module used in the simulation have been taken from the NREL (National Renewable Energy Laboratory) database of standard test condition (STC) parameters are VOCSTC (21.61 volts), ISCSTC (5.012 amps), α (0.06644), β (−0.32983) and Ns (36)
Summary
The use of photovoltaic (PV) systems has been growing in the last decade This type of generation has two critical disadvantages: the high cost of installed capacity and efficiency ranges between 9%–15% [1], which is considered low. Considering the above, it requires the use of maximum power point tracking techniques (MPPT) to generate maximum power according to the variable environmental conditions [2]. A comparison will be made between the simulated methods
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