A P&amp;O Based Variable Step Size MPPT Algorithm for Photovoltaic Applications

Yüksek, Gökhan; Mete, Ahmet Naci

doi:10.35378/gujs.1050325

Cited by 13 publications

(5 citation statements)

References 37 publications

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“…The amount of energy output by solar systems can be optimised using MPPT. Of many methods of achieving the maximum output power, this present study used the perturb-and-observe (P&O) algorithm [26]. The maximum power point (MPP) may be determined by varying the duty cycle of the boost converter and comparing the prior and current levels of power (𝑃) and voltage (𝑉).…”

Section: Rated Voltage 656 Vmentioning

confidence: 99%

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Kozłowski,

Jasik,

Łaszcz

et al. 2024

Opto-Electronics Review

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Growing energy demands are expected to render existing energy resources insufficient. Solar energy faces challenges in terms of providing continuous and reliable power supply to consumers. However, it has become increasingly important to implement renewable energy (RE) and energy management (EM) systems to increase the supply of power, improve efficiency, and maintain the stability of energy systems. As such, this present study integrated energy storage (ES) devices; namely, batteries and direct current (DC) to DC converters; into energy systems that support battery operation and effectively manage power flow, especially during peak load demands. The proposed system also addresses low solar irradiation and sudden load change scenarios by enabling the battery to operate in a discharge state to supply power to the load. Conversely, when the demand matches or exceeds the available solar energy, the battery is charged using solar power. The proposed system highlights the significance of RE systems and EM strategies in meeting growing energy demands and ensuring a reliable supply of power during solar variability and fluctuating loads. A MATLAB® Simulink model was used to evaluate the integration of a 200 kW photovoltaic (PV) array with a 380 V grid and 150 kW battery. The loads, consisting of a 100 kW and a 150 kW unit, were parallel connected. The results indicated that boost and three-phase (3Ph) inverters can be used to successfully integrate PV systems to the power grid to supply alternating current (AC) power. The inclusion of a battery also addressed power shortages during periods of insufficient power generation and to store surplus power.

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Section: Rated Voltage 656 Vmentioning

confidence: 99%

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Kozłowski,

Jasik,

Łaszcz

et al. 2024

Opto-Electronics Review

View full text Add to dashboard Cite

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“…A P and O technique is unable to track the GMPP under PSC and particularly to trap the LMPP. Therefore, the authors in [48] combine P and O with IC to eliminate the disadvantages of both algorithms and enhance the MPPT tracking capability. A core idea of this technique is based on variable step sizes that are taken automatically according to the MPP.…”

Section: P and O With Icmentioning

confidence: 99%

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

2023

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To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power Point Tracking (MPPT) techniques were developed. In this research work, different hybrid MPPT techniques are categorized into three types: a combination of conventional algorithms, a combination of soft computing algorithms, and a combination of conventional and soft computing algorithms are discussed in detail. Particularly, about 90 hybrid MPPT techniques are presented, and their key specifications, such as accuracy, speed, cost, complexity, etc., are summarized. Along with these specifications, numerous other parameters, such as the PV panel’s location, season, tilt, orientation, etc., are also discussed, which makes its selection easier according to the requirements. This research work is organized in such a manner that it provides a valuable path for energy engineers and researchers to select an appropriate MPPT technique based on the projects’ limitations and objectives.

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“…But the settling time is more. Modified variable step size P&O technique aims to achieve the greatest output power from a solar system that is connected to a boost converter 16 . The approach proposed by the authors successfully improved the time it takes to track and reduced the amount of steady state oscillation near the MPP.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of interleaved boost converter with ANN supported adaptable stepped-scaled P&O based MPPT for solar powered applications

Krishnaram,

Padmanabhan,

Alsaif

et al. 2024

Sci Rep

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Solar energy is the most promising among many renewable energy sources to meet the increasing demand. Photovoltaic (PV) based power generating solutions are expected to gain popularity as a power source for different applications, including independent and grid connected loads, due to their cleanliness, high performance, and high dependability. The efficacy of photovoltaic systems is impacted by several elements, including geographical location, positioning, shadowing effects, and local climate conditions. In order to fulfil the demands of loads, an interleaved boost converter is utilized, which has a reduced number of filters with less stress on the devices. Solar powered systems employ several maximum power point tracking (MPPT) methodologies. However, when there is partial shading, many power peaks arise, which complicates the identification of the overall peak. Although MPPT approaches are designed to measure and maintain the global maximum power point (GMPP), there are still significant oscillations observed around the GMPP with subpar settling time, tracking efficiency, and conversion efficiency. In this work, novel hybrid MPPT technique called artificial neural network supported adaptable stepped-scaled perturb and observe (ANN-ASSPO) method and water cycle optimization based perturb and observe (WCO-PO) have been proposed. Artificial neural network (ANN) has been used to determine the best scaling factor in ANN-ASSPO MPPT. Performance is enhanced in ANN-ASSPO MPPT by using the optimum scaling factor, particularly in situations when the irradiance is rapidly changing/partial shading conditions. Similarly, in WCO-PO MPPT water cycle optimization is used to determine the peak power when the PV panel is subjected to partial shading conditions. The performances of proposed hybrid MPPT ANN-ASSPO and WCO-PO techniques have been compared in terms of power generated, output voltage, average settling time and conversion efficiency. The MATLAB/Simulink tool is employed to carry out the experiment for this study.

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A P&O Based Variable Step Size MPPT Algorithm for Photovoltaic Applications

Cited by 13 publications

References 37 publications

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

Performance optimization of interleaved boost converter with ANN supported adaptable stepped-scaled P&O based MPPT for solar powered applications

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