A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems

Masmoudi, Ramadhan; Boulhares, Ikhlas; Neçaïbia, Ammar

doi:10.11591/ijeecs.v28.i1.pp21-29

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…From Figure 8, solar irradiation is measured with the lowest value of 509 W/m 2 at 11:00 AM this indicates cloudy weather conditions, while the highest value of 944 W/m 2 at 13:00 PM with an average solar irradiation of 702.7 W/m 2 . This indicates sunny weather with ideal solar radiation values close to the STC value at 1000 W/m 2 [29], [30]. Same as solar radiation measurements, cell temperature measurements were carried out for each solar panel using the solar survey 200R product from Seaward as shown in Figure 9.…”

Section: Solar Irradiance and Cell Temperaturementioning

confidence: 99%

Impact of cell temperature on the performance of a rooftop photovoltaic system of 2.56 kWp at Universitas Pamulang

Abdul Rozak,

Zamri Ibrahim,

Zalani Daud

et al. 2023

IJEECS

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The performance of solar panels greatly determines the electrical energy production of a solar power generation system. The decrease in performance has an impact on efficiency, output power, output voltage and current. Currently, at Universitas Pamulang a solar photovoltaic system (PV) is installed with a capacity of 2.56 kWp since 2018. However, no performance test and analysis have been conducted to determine its level of efficiency and reliability. This paper presents an experimental method used for performance testing of a 320 W mono-crystalline solar panel, measuring from 08.00 AM to 4.00 PM, using the solar survey 200R to measure solar irradiation, ambient and cell temperature. A digital multimeter CD800a was used to measure Voc and a PV200 tester used to measure voltage and current output. The results revealed that at an ambient temperature of 38°C and cell temperature 50.9°C, the intensity of solar radiation was 702.7 W/m2 and output voltage of 42.9 V with a performance of 78.37% and an efficiency of 27.73% was due to an increase cell temperature. Low-efficiency values with high cell temperatures indicate that this system requires an external solar panel cooling system.

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Section: Solar Irradiance and Cell Temperaturementioning

confidence: 99%

Impact of cell temperature on the performance of a rooftop photovoltaic system of 2.56 kWp at Universitas Pamulang

Abdul Rozak,

Zamri Ibrahim,

Zalani Daud

et al. 2023

IJEECS

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Automatic Step Size Selection of the PO MPPT Algorithm to Improve Wind Power Generation

Putri,

Penangsang,

Soeprijanto

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Perturb and Observe (P&O) is a commonly used algorithm for Maximum Power Point Tracking (MPPT) in wind turbines. MPPT plays a critical role in enhancing wind turbine efficiency by dynamically adjusting operating parameters to adapt to fluctuating wind conditions. Although P&O is favored for its simplicity and adaptability, its performance is hindered by step size selection issues, which lead to inefficiency, oscillations, and slow convergence. To overcome these limitations, this research proposes a modified P&O algorithm that automates step size selection based on divided sectors of wind speed and normalized power in region two. Additionally, an integration of the pitch-angle control from region three was employed to maintain the optimal power output under variable wind conditions. The proposed approach reduces tracking time, minimizes perturbation errors, and ensures a stable power output. The proposed modifications enhance the efficiency and reliability of Wind Energy Conversion Systems (WECS) by addressing the shortcomings of the conventional P&O methods.

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Improving solar panel performance using MPPT optimization algorithms

Masmoudi,

Kaddi,

Kabou

et al. 2024

SEES

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One of the primary challenges faced by solar energy systems is the issue of inconsistent lighting and uneven distribution of sunlight across the surface of solar panels. These conditions can result in a substantial reduction in the power output of the panels and, in some cases, the complete failure of certain solar cells. This paper examines the effects of shading on solar panel performance, focusing on how partial shading impacts energy production and efficiency through both experimental analysis and simulation. The findings emphasize the critical influence of shading patterns and configurations on the overall efficiency of photovoltaic systems. The study highlights the necessity of implementing shading mitigation strategies and optimization algorithms to enhance energy production and ensure the reliability of solar systems operating in environments with varying light conditions. This study showed that the use of optimization algorithms in photovoltaic systems exposed to shading increases their efficiency in terms of energy saving as well as performance stability. The simulation results shows that the GWO algorithm gives a higher performance than the other algorithms in the same partial shading conditions.

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A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems

Cited by 3 publications

References 22 publications

Impact of cell temperature on the performance of a rooftop photovoltaic system of 2.56 kWp at Universitas Pamulang

Impact of cell temperature on the performance of a rooftop photovoltaic system of 2.56 kWp at Universitas Pamulang

Automatic Step Size Selection of the PO MPPT Algorithm to Improve Wind Power Generation

Improving solar panel performance using MPPT optimization algorithms

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