High Step-Up DC—DC Converter for AC Photovoltaic Module with MPPT Control

Sundar, G.; Karthick, N.; Reddy, S. Rama

doi:10.2478/jee-2014-0038

Cited by 9 publications

(10 citation statements)

References 14 publications

(16 reference statements)

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“…The average change current in the inductor is equal to zero. Therefore, the load voltage is expressed as follows [8]:…”

Section: Interleaved Boost Convertermentioning

confidence: 99%

“…The power converters associated with fuel cells should have specific characteristics. Undeniably, the fuel cell is very sensitive to low and high frequency currents created by power electronic converters and loads [8]. Low and high frequency components of currents reduce the PEMFC output power and decrease the durability of the membranes [9].…”

Section: Introductionmentioning

confidence: 99%

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A Neural Network-Based Four Phases Interleaved Boost Converter for Fuel Cell System Applications

et al. 2018

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This paper presents a simple strategy for controlling an interleaved boost converter that is used to reduce the current fluctuations in proton exchange membrane fuel cells, with high impact on the fuel cell lifetime. To keep the output voltage at the desired reference value under the strong fluctuations of the fuel flow rate, fuel supply pressure, and temperature, a neural network controller is developed and implemented using Matlab-Simulink (R2012b, MathWorks limited, London, UK). The advantage of this controller resides in its simplicity, where limited number of tests are carried out using Matlab-Simulink to construct it. To investigate the robustness of the proposed converter and the neural network controller, strong variations of the fuel flow rate, fuel supply pressure, temperature and air supply pressure are applied to both the fuel cell and the neural network controller of the converter. The simulation results show the effectiveness and the robustness of the both the proposed controller and converter to control the load voltage and minimize the current and voltage ripples. As a result of that, fuel cell current oscillations are considerably reduced on the one hand, while on the other hand, the load voltage is stabilized during transient variations of the fuel cell inputs.

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“…The average change current in the inductor is equal to zero. Therefore, the load voltage is expressed as follows [8]:…”

Section: Interleaved Boost Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Neural Network-Based Four Phases Interleaved Boost Converter for Fuel Cell System Applications

et al. 2018

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“…In recent decades, the generation and consumption of electricity supplied by renewable energy systems have grown, and it is expected to continually expand. Solar and wind energy can be highlighted as non-polluting energy sources, recently demonstrating a significant increase in the electric sector (Hart, 2010;Monfared, et al, 2012;Sundar, et al, 2014;Xiao, 2017). As a non-polluting energy source, solar energy has stood out as being inexhaustible on the terrestrial time scale, currently becoming the most promising renewable energy (Massawe, 2013).…”

Section: Introductionmentioning

confidence: 99%

Investigation on Control Strategies for a Single-Phase Photovoltaic Inverter Using PSCAD/EMTDC Software

Henz

Gasparin

2021

Power Electronics and Drives

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In the last decades, electric power produced through photovoltaic conversion has been increasing because of the need to reduce fossil fuel burning. Recently, photovoltaic systems have become more competitive and their role in the renewable energies market share is steadily gaining in importance. Improvements in the power electronics employed in the DC/AC conversion are topics of interest in the quest for more efficient and eventually reduced-cost inverters. The goal of this paper is to perform an investigation of control strategies and propose a topology for a single-phase DC/AC converter for photovoltaic arrays using the simulation software Power System Computer Aided Design/ Electromagnetic Transient Design and Control (PSCAD/EMTDC). The circuit proposed in this paper employs an isolating transformer to a grid-connected photovoltaic inverter. The control strategy proposed uses the instantaneous reactive power theory (p–q theory) and phase-locked loop (PLL). The p-q theory uses two virtual axes in the Park Transformation, which provide to the control system a good dynamic response, accuracy, and decoupling between the control and power system. Computer simulations using the electromagnetic transient software PSCAD show the efficiency of the proposed strategy for a single-phase inverter. The control strategy and topology are quite simple and easy to implement in the future using a Digital Signal Processor (DSP). The results provide insights into new power electronics solutions, which can improve the efficiency and efficacy of the current available in DC/AC converters for photovoltaic systems.

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“…In addition, this system does not require the knowledge of the exact model [12–17]. To transmit the power at the required voltage and current level from the PV array to the load, boost converter is used [18]. The interleaved soft-switching boost converter (ISSBC) shares the input current all along each phase, thereby decreasing the current rating of the switching device.…”

Section: Introductionmentioning

confidence: 99%

PLL Based Energy Efficient PV System with Fuzzy Logic Based Power Tracker for Smart Grid Applications

Rohini

Jamuna

2016

The Scientific World Journal

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This work aims at improving the dynamic performance of the available photovoltaic (PV) system and maximizing the power obtained from it by the use of cascaded converters with intelligent control techniques. Fuzzy logic based maximum power point technique is embedded on the first conversion stage to obtain the maximum power from the available PV array. The cascading of second converter is needed to maintain the terminal voltage at grid potential. The soft-switching region of three-stage converter is increased with the proposed phase-locked loop based control strategy. The proposed strategy leads to reduction in the ripple content, rating of components, and switching losses. The PV array is mathematically modeled and the system is simulated and the results are analyzed. The performance of the system is compared with the existing maximum power point tracking algorithms. The authors have endeavored to accomplish maximum power and improved reliability for the same insolation of the PV system. Hardware results of the system are also discussed to prove the validity of the simulation results.

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High Step-Up DC—DC Converter for AC Photovoltaic Module with MPPT Control

Cited by 9 publications

References 14 publications

A Neural Network-Based Four Phases Interleaved Boost Converter for Fuel Cell System Applications

A Neural Network-Based Four Phases Interleaved Boost Converter for Fuel Cell System Applications

Investigation on Control Strategies for a Single-Phase Photovoltaic Inverter Using PSCAD/EMTDC Software

PLL Based Energy Efficient PV System with Fuzzy Logic Based Power Tracker for Smart Grid Applications

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