A Comparative Study Between Perturb and Observe and Cuckoo Search Algorithm for Maximum Power Point Tracking

Halim, Ahmed A. El Baset A. El; Saad, Naggar H.; Sattar, Ahmed A.

doi:10.1109/mepcon47431.2019.9008210

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…For this reason, the derivative of points must be above and below zero on the left side (point C as shown in Figure 6) and on the right side of the MPP, respectively. These are explained as follows in [7,16]: Figure 8 demonstrates the flowchart of the IC. This methodology begins with the V and I qualities detected and calculates V and I changes compared to past advances.…”

Section: Incremental Conductance Methods (Icm)mentioning

confidence: 99%

“…The equivalent circuit of a PV cell is shown in Figure 3, in which the modest model can be represented by a current source connected parallel with SDM and the non-idealities are represented by series (𝑅 𝑠 ) and parallel (𝑅 𝑝 ) resistors. The mathematical equation of the yield current of a single PV model can be written as follows [16]:…”

Section: Page Setup Modeling Of Solar Pv and The System Figure 3 Equivalent Circuit For Single Diode (Sdm) Model Of Pv Cellmentioning

confidence: 99%

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Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

Halim¹,

Bayoumi²

2021

JESA

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All over the world, photovoltaic (PV) systems have now become a hopeful way to obtain transition to sustainable energy. Under different operating conditions, the voltage and maximum power generated by PV arrays can differ. The present study aims to employ a PV experimental model to propose a technique for tracking the maximum power point using a new control method for DC-DC converters. The Perturb and Observe (P&O) and Incremental Conductance Method (ICM) were combined to obtain a new combination method. The test system comprises a PV model, a DC-DC converter, a battery, an inverter, and a load. Simulation and experimental results that are totally compatible with each other demonstrate that the devised method can be used as a platform for the PV maximum power point tracking (MPPT) systems.

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Section: Incremental Conductance Methods (Icm)mentioning

confidence: 99%

Section: Page Setup Modeling Of Solar Pv and The System Figure 3 Equivalent Circuit For Single Diode (Sdm) Model Of Pv Cellmentioning

confidence: 99%

Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

Halim¹,

Bayoumi²

2021

JESA

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“…The CS-MPPT algorithm is a highly popular metaheuristic method [40,44] renowned for its fast convergence time and minimal steady-state error [45]. Researchers from diverse fields have taken great interest in the CS algorithm and successfully applied it to solve a range of problems [46].…”

Section: Introductionmentioning

confidence: 99%

A New Efficient Cuckoo Search MPPT Algorithm Based on a Super-Twisting Sliding Mode Controller for Partially Shaded Standalone Photovoltaic System

et al. 2023

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The impact of Partial Shading Conditions (PSCs) significantly influences the output of Photovoltaic Systems (PVSs). Under PSCs, the Power-Voltage (P-V) characteristic of the PVS unveils numerous power peaks, inclusive of local maxima and a global maximum. The latter represents the optimum power point. Traditional Maximum Power Point Tracking (MPPT) algorithms struggle to track the Global Maximum Power Point (GMPP). To address this, our study emphasizes the creation of a novel algorithm capable of identifying the GMPP. This approach combines the Cuckoo Search (CS) MPPT algorithm with an Integral Super-Twisting Sliding Mode Controller (STSMC) using their benefits to enhance the PVS performance under PSCs in terms of high efficiency, low power losses, and high-speed convergence towards the GMPP. The STSMC is a second-order Sliding Mode Control strategy that employs a continuous control action that attenuates the “chattering” phenomenon, caused when the first-order SMC technique is employed. Indeed, the proposed CS-STSMC-MPPT algorithm consists of two parts. The first one is based on the CS algorithm used for scanning the power-voltage curve to identify the GMPP, and subsequently generating the associated optimal voltage reference. The second part aims to track the voltage reference by manipulating the duty cycle of the boost converter. The proposed CS-STSMC-MPPT algorithm is featured by its strength against uncertainties and modeling errors. The obtained simulation results underline a high convergence speed and an excellent precision of the proposed method in identifying and tracking the GMPP with high efficiency under varying shading scenarios. For comparative purposes, this method is set against the hybrid CS-Proportional Integral Derivative, the conventional CS, the Particle Swarm Optimization, and the Perturb and Observe algorithms under different PSCs, including zero, weak, and severe shading. Simulation conducted in the Matlab/Simulink environment confirms the superior performance of the proposed CS-STSMC-MPPT algorithm in terms of precision, convergence speed, efficiency, and resilience.

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Performance Optimization in Photovoltaic Systems: A Review

Sangeetha,

Manjunatha,

Thirusenthil Kumaran

et al. 2023

Arch Computat Methods Eng

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A Comparative Study Between Perturb and Observe and Cuckoo Search Algorithm for Maximum Power Point Tracking

Cited by 4 publications

References 17 publications

Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

A New Efficient Cuckoo Search MPPT Algorithm Based on a Super-Twisting Sliding Mode Controller for Partially Shaded Standalone Photovoltaic System

Performance Optimization in Photovoltaic Systems: A Review

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