A Comparative Study of Perturb and Observe (P&O) and Incremental Conductance (INC) PV MPPT Techniques at Different Radiation and Temperature Conditions | ||
Engineering and Technology Journal | ||
Article 10, Volume 40, Issue 2, February 2022, Pages 376-385 PDF (1.18 M) | ||
Document Type: Research Paper | ||
DOI: 10.30684/etj.v40i2.2189 | ||
Authors | ||
Marwan E. Ahmad* 1; Ali H. Numan2; Dhari Y. Mahmood3 | ||
1Electrical Engineering Dept., University of Technology-Iraq, Alsina’a Street, 10066 Baghdad, Iraq | ||
2Electrical Engineering Dept., University of Technology-Iraq, Alsina’a Street, 10066 Baghdad, Iraq. | ||
3Electrical 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 | ||
Highlights | ||
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Keywords | ||
Solar PV panel; PV Characteristics; STC; Boost converter; MPPT; P&O Algorithm INC Algorithm | ||
References | ||
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