Abstract
Photovoltaic generators (PVGs) are one of the most popular renewable energy sources (RESs), which achieve 47% of RES in microgrids. The aim of this work is to design and simulate a PVG system with a rated power of about 1,621 kW at the standard test conditions (STC), i.e., 1,000 W/m2 and 25ºC. The main components of the proposed PVG are 12 PV panels connected in series (the peak power of a PV panel at STC is about 135 W). A DC-DC boost converter is proposed for implementing the maximum power point tracking (MPPT) algorithm. The proposed MPPT algorithm is tested under extreme conditions; a wide range of change in temperature, irradiance, and load variations. The boost converter is designed to verify stable power flow from the PVG to the load. The calculated and the simulation results using MATLAB/Simulink are in good agreements and the maximum efficiency of the implemented MPPT algorithm is about 99%.
Highlights
The main drawback to renewable energy sources, including photovoltaic (PV)and wind power, is that they fluctuate in power and can be only intermittently, reliable for energy generation because they rely on natural, not controllable factors such as the Sun and wind
Hayati Mamur and Rasit Ahiska [3] proposed a DC–DC boost converter with maximum power point tracking (MPPT) based on microcontroller embedded in perturb and observe (P&O) algorithm to obtain maximum power from a newly designed portable Thermoelectric generators in a real TEG system
Different load resistance is considered for maximum power point tracking (MPPT) with different converter topologies, and it has been observed that buck-boost converter is suitable for any load resistance connected in the PV system
Summary
The main drawback to renewable energy sources, including photovoltaic (PV)and wind power, is that they fluctuate in power and can be only intermittently, reliable for energy generation because they rely on natural, not controllable factors such as the Sun and wind. The MPPT controller derives the DC-DC converter, which serves as an interface between load and PV cell, by controlling its duty cycle to extract maximum power out of the PV cell based on environmental conditions [2]. Hayati Mamur and Rasit Ahiska [3] proposed a DC–DC boost converter with maximum power point tracking (MPPT) based on microcontroller embedded in perturb and observe (P&O) algorithm to obtain maximum power from a newly designed portable Thermoelectric generators (pTEG) in a real TEG system. Different load resistance is considered for maximum power point tracking (MPPT) with different converter topologies, and it has been observed that buck-boost converter is suitable for any load resistance connected in the PV system. An effort has been taken to suitably choose the control variable which is the output signal of the maximum power point (MPP) tracker.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
