Analysis of a symmetrical multilevel DC-DC boost converter with ripple reduction structure for solar PV systems

Allehyani, Ahmed

doi:10.1016/j.aej.2021.12.049

Cited by 18 publications

(2 citation statements)

References 14 publications

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“…For obtaining greater efficiency, Maximum PowerPoint Tracking (MPPT) methods are used. The output of the solar panel is DC, which is fed to the DC-DC boost converter to raise it to a sufficient level [8], [9]. The multilayer inverter receives the DC voltage that was acquired by the boost converter.…”

Section: Introductionmentioning

confidence: 99%

Sigma-Delta Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters Using FPGA-Enabled Recurrent Neural Network-Newton Raphson Algorithm

Dakka¹,

Patthi²,

Rao³

et al. 2023

Preprint

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Harmonics produce nonlinearity, compromising system stability. Numerical approaches are effective yet time-consuming for solving dynamic nonlinear harmonic issues. This paper suggests employing a mix of the Recurrent Neural Network and Newton-Raphson (RNN-NR) techniques to address nonlinear harmonic problems. Inspired by the brain, RNNs are powerful problem prediction and pattern modelling algorithms. RNNs are able to effectively handle newly collected inputs even in the absence of NR-based mathematical models. Harmonics can be eliminated by Sigma-Delta Selective Harmonic Elimination (SD-SHE) PWM, which is used by Cascaded H-Bridge Multilevel Inverters (CHB-MLI). SD-SHE PWM notches the cascaded multilevel inverter's output waveform at varying angles to decrease harmonics. The neural network is trained using the MATLAB RNN programme. To implement its stages, Xilinx Vivado transfers the RNN to a Field Programmable Gate Array (FPGA). The nonlinearity problem is solved when the neural network is operated on an FPGA, and the design can be easily modified to meet the requirements of different applications.

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Section: Introductionmentioning

confidence: 99%

Sigma-Delta Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters Using FPGA-Enabled Recurrent Neural Network-Newton Raphson Algorithm

Dakka¹,

Patthi²,

Rao³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Its disadvantage is the use of two power switches with simultaneous operation. A symmetrical multilevel DC-DC boost converter with ripple reduction structure was also analyzed by [38]. The advantages of this topology are high voltage gain, low switch stress, and the ability to reduce the input current ripple and capacitor voltage ripple.…”

Section: Introductionmentioning

confidence: 99%

Contribution to the Development of a Smart Ultrasound Scanner: Design and Analysis of the High-Voltage Power Supply of the Transmitter

Mbele Ndzana,

Lekini Nkodo,

Tolok Nelem

et al. 2023

Inventions

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A smart ultrasound scanner plays an important role in the transition to point-of-care imaging. DC–DC bipolar converters are essential in the generation of the ultrasound burst signal as they power the piezoelectric transducer. The conventional bipolar converter has minimal output gain and high-voltage stress, and the longer duty cycle on the semiconductors produces high conduction losses and reduces the efficiency of the system. The transmitter supply voltage is minimal, necessitating the use of high-gain bipolar converters. This proposed study is concerned with the development of an improved high-output voltage gain symmetric bipolar DC–DC converter topology which may be suitable for applications such as powering a smart ultrasound scanner transmitter. The proposed converter combines the conventional single-ended primary inductor converter (SEPIC) with a voltage multiplier cell (VMC) to improve voltage gain, transistor duty cycle, efficiency, and reliability. The present study describes the working principle of the proposed converter. The analysis of the voltage gain is carried out in continuous current mode (CCM) and discontinuous current mode (DCM), taking into account the nonidealities of the device. The simulation of the proposed system is carried out in the numerical environment Matlab/Simulink in order to verify its characteristics. A prototype model is realized and the experimental study presented validates the theoretical arguments and simulations. Due to the advantages of continuous input current, self-balancing bipolar outputs, and small component size, the proposed converter is a suitable choice for smart ultrasound transmitters.

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Improved DC-DC converter based on quadruple boosting technique for high-voltage gain in photovoltaic systems

Abdulhadi

2024

Electr Eng

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Analysis of a symmetrical multilevel DC-DC boost converter with ripple reduction structure for solar PV systems

Cited by 18 publications

References 14 publications

Sigma-Delta Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters Using FPGA-Enabled Recurrent Neural Network-Newton Raphson Algorithm

Sigma-Delta Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters Using FPGA-Enabled Recurrent Neural Network-Newton Raphson Algorithm

Contribution to the Development of a Smart Ultrasound Scanner: Design and Analysis of the High-Voltage Power Supply of the Transmitter

Improved DC-DC converter based on quadruple boosting technique for high-voltage gain in photovoltaic systems

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