MPPT for PV Systems Under Partial Shading Using Cuckoo Search with Perturb and Observe Optimizations

This study offers a comparative assessment of Perturb and Observe (P&O) and Cuckoo Search (CS) maximum power point tracking (MPPT) methodologies, specifically within a photovoltaic (PV) system, under both standard test conditions (STC) and varying irradiance scenarios. The PV system was simulated and modeled using MATLAB/Simulink, and performance metrics were derived from the time-domain simulation outcomes. In the context of STC, the CS MPPT technique demonstrates an output power of 11.62 kW, coupled with an efficiency of 93.46%. This result represents a substantial improvement over the P&O MPPT method, which yields 8.088 kW at an efficiency of 65.05%. In a similar vein, the CS-based methodology exhibits robust performance across a spectrum of irradiance levels, generating 11.51 kW at an efficiency of 92.58%. Conversely, the P&O method produces 8.05 kW with a 64.75% efficiency. These findings indicate that the CS MPPT technique facilitates enhanced power extraction and superior efficiency relative to the traditional P&O algorithm, irrespective of whether the operating conditions are stable or fluctuating. Consequently, it presents a more advantageous solution for photovoltaic energy conversion systems.

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Publication Details

Journal
Al-Bahir Journal for Engineering and Pure Sciences
Published
2026-04-06
DOI
https://doi.org/10.55810/2313-0083.1127
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

MPPT for PV Systems Under Partial Shading Using Cuckoo Search with Perturb and Observe Optimizations

Salih Y. Darweesh, Muhammad Hamza Zafar, Abdullah Ahmed Alwan, Sura Hamad Faraj et al.
Al-Bahir Journal for Engineering and Pure Sciences
Photovoltaic System Optimization Techniques
article

MPPT for PV Systems Under Partial Shading Using Cuckoo Search with Perturb and Observe Optimizations

Salih Y. Darweesh, Muhammad Hamza Zafar, Abdullah Ahmed Alwan, Sura Hamad Faraj, Ahmed J. Ali
article en

Abstract

This study offers a comparative assessment of Perturb and Observe (P&O) and Cuckoo Search (CS) maximum power point tracking (MPPT) methodologies, specifically within a photovoltaic (PV) system, under both standard test conditions (STC) and varying irradiance scenarios. The PV system was simulated and modeled using MATLAB/Simulink, and performance metrics were derived from the time-domain simulation outcomes. In the context of STC, the CS MPPT technique demonstrates an output power of 11.62 kW, coupled with an efficiency of 93.46%. This result represents a substantial improvement over the P&O MPPT method, which yields 8.088 kW at an efficiency of 65.05%. In a similar vein, the CS-based methodology exhibits robust performance across a spectrum of irradiance levels, generating 11.51 kW at an efficiency of 92.58%. Conversely, the P&O method produces 8.05 kW with a 64.75% efficiency. These findings indicate that the CS MPPT technique facilitates enhanced power extraction and superior efficiency relative to the traditional P&O algorithm, irrespective of whether the operating conditions are stable or fluctuating. Consequently, it presents a more advantageous solution for photovoltaic energy conversion systems.

Al-Bahir Journal for Engineering and Pure SciencesVol. 8(2)
University of Agder (NO), Northern Technical University (IQ), University of Tikrit (IQ)
Openalex Percentile: Top 37%
Photovoltaic System Optimization Techniques
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