Engineering and Technology Journal

A Comparative Study of Perturb and Observe (P&O) and Incremental Conductance (INC) PV MPPT Techniques at Different Radiation and Temperature Conditions

Document Type : Research Paper

Authors

1 Electrical Engineering Dept., University of Technology-Iraq, Alsina’a Street, 10066 Baghdad, Iraq

2 Electrical Engineering Dept., University of Technology-Iraq, Alsina’a Street, 10066 Baghdad, Iraq.

3 Electrical Engineering Dept., University of Technology-Iraq, Alsina’a Street, 10066 Baghdad, Iraq

Abstract

The biggest challenge in the solar system is to extract the maximum output power
from photovoltaic (PV) panels under different solar radiation and temperature
conditions. This paper presents a comparative study between perturb and observe
(P & O) and incremental conduction (INC) algorithms. These are the most popular
algorithms for tracking solar PV panels and extracting the maximum power point
(MPP) under different climate conditions. The studied PV system and the MPPT
techniques have been investigated by simulation using MATLAB/Simulink. The
simulation includes a boost converter, which increases the PV panel voltage by
controlling the duty cycle. The obtained results show that the P & O performance
close to MPP under constant test conditions (STC) is better than the variable
conditions due to oscillation. In contrast, the performance of the INC algorithm is
better than P & O in terms of speed to reach MPP, accuracy, and quality under
changes in radiation and temperature conditions

Graphical Abstract

Highlights

  • Extract the maximum output power from photovoltaic (PV) panels under different solar radiation and temperature conditions.
  • A comparative study between perturb and observe (P & O) and incremental conduction
    (INC) algorithms.    observe (P & O) and incremental conduction(INC) algorithms.
  • The boost converter design increases thevoltage of the photovoltaic panel by controlling the duty cycle.
  • The performance of the INC algorithm is better than that of P & O

 

Keywords

References
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Engineering and Technology Journal
Volume 40, Issue 2
Electrical Engineering
, 16 articles
February 2022
Page 376-385
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