Improve the performance of a PV system for battery charging using a cuckoo search algorithm-based maximum power point tracking under rapidly changing irradiance conditions

A maximum power point tracking (MPPT) approach was employed to enhance the performance and boost PV efficiency. To acquire the peak power from the PV module under varied irradiance and temperature conditions, typical MPPT approaches such as perturb and observe (P & O) and incremental conductance...

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Bibliographic Details
Main Authors: Abed, Hayder Abd Ali, Hawas, Majli Nema, Fayadh, Rashid Ali
Format: Conference Proceeding
Language:English
Subjects:
Charging
Efficiency
Electric converters
Energy conversion efficiency
Incremental conductance
Irradiance
Lithium batteries
Maximum power tracking
Performance enhancement
Search algorithms
Time response
Voltage converters (DC to DC)
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Summary:A maximum power point tracking (MPPT) approach was employed to enhance the performance and boost PV efficiency. To acquire the peak power from the PV module under varied irradiance and temperature conditions, typical MPPT approaches such as perturb and observe (P & O) and incremental conductance (IC) were created using a specific DC/DC converter. These approaches have several disadvantages, including low efficiency, slow tracking speed, and increased oscillations. As a result, an optimization approach was employed to improve speed and overall efficiency. The Cuckoo Search Algorithm (CSA) has numerous benefits, including a small number of tuning parameters with good efficiency and quick convergence. Therefore, a CSA-based MPPT technique was employed in this article to increase the dynamic performance of the PV system for battery charging. The lithium battery module has a capacity of 400 Ah and is integrated with the PV array by a DC/DC boost converter. The Matlab/Simulink software is used to implement the simulation findings under various loads and solar irradiance levels. As a consequence, the PV system’s performance is improved via CSA, with faster tracking of the MPP, higher extracted power, and lower power losses. Finally, the time response achieved in the suggested MPPT is improved by 0.185 sec compared with the P&O method (0.3 sec).
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0238092