Comparative Study of DC-DC Converters for Solar PV with Microgrid Applications

Jagadeesh, Ingilala; Indragandhi, V.

doi:10.3390/en15207569

Cited by 21 publications

(12 citation statements)

References 84 publications

(75 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This section validates the simulation results of the proposed controlling and battery management mechanisms by using the Matlab/Simulink tool. The simulation parameter settings of this study are provided in Table 3 44‐46 . In an MPPT controller, the PV array's voltage and current are input into the MPPT algorithm, and then the MPPT algorithm's output is used to run a dc‐dc converter.…”

Section: Resultsmentioning

confidence: 99%

“…The simulation parameter settings of this study are provided in Table 3. [44][45][46] In an MPPT controller, the PV array's voltage and current are input into the MPPT algorithm, and then the MPPT algorithm's output is used to run a dc-dc converter. The proposed SHO-based meta-heuristic MPPT control algorithm's performances has been contrasted to those of a few other MPPT control algorithms to estimate its performance.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Nambi,

Muthubalaji,

Srinivasan

et al. 2024

Energy Storage

View full text Add to dashboard Cite

An economically appealing alternative to the use of fossil fuels in many nations is the electric vehicle (EV). Commercial EVs have a battery that powers the motor while also being charged by solar photovoltaic (PV). The original contribution of this research work is to implement a smart and advanced methodologies for accomplishing the objectives of MPPT control and battery management in EVs. Here, a novel spotted hyena optimized (SHO)‐MPPT controlling algorithm is applied to get the most out of the electricity generated by PV panels to meet EV energy requirements. A modified high gain super‐lift Luo converter has been implemented to improve and regulate the output voltage of PV for optimal battery charging and motor control. Then, an adaptive dynamic encoded network controller is designed to improve the voltage regulation and boosting performance of the DC‐DC converter. Consequently, a Henry gas solubility optimization is deployed to perform an effective battery management in EVs by optimally estimating the state of charge, which helps to increase the charging efficiency of EVs. Moreover, a three‐phase voltage source inverter has also been used to lower harmonic levels and deliver high‐quality output power to the EV motor. The results of the proposed MPPT controlling, converter controlling, and battery management strategies are verified in this study using a complete simulation and comparison analysis, where the parameters such as IV‐PV characteristics, motor torque, speed, total harmonic distortions (THDs), and so forth are taken into account for performance validation. By using the proposed controlling methodology, the THD is reduced to 1.09% with the improved vehicle speed of 3000 rpm, and overall performance efficiency of 99%.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Nambi,

Muthubalaji,

Srinivasan

et al. 2024

Energy Storage

View full text Add to dashboard Cite

show abstract

“…Furthermore, this enhancement plays a crucial role in improving the overall efficiency of electric propulsion systems. It also plays a significant part in supporting the electric mobility ecosystem's sustainability objectives [38,39]. The illustration below showcases the HG-QBC topology, highlighting its intricate architecture and its potential to bring about a significant transformation in energy conversion for electric automobiles.…”

Section: High-gain Quadratic Boost Converter Topologymentioning

confidence: 99%

A Critical Analysis of Quadratic Boost Based High-Gain Converters for Electric Vehicle Applications: A Review

Kumar,

Panda,

Naayagi

et al. 2024

Sensors

View full text Add to dashboard Cite

Conventional DC-DC boost converters have played a vital role in electric vehicle (EVs) powertrains by enabling the necessary voltage to increase to meet the needs of electric motors. However, recent developments in high-gain converters have introduced new possibilities with enhanced voltage amplification capabilities and efficiency. This study discusses and evaluates the state-of-the-art high-gain DC-DC converters for EV applications based on the Quadratic Boost Converter (QBC). Research into innovative topologies has increased in response to the increasing demand for efficient and high-performance power electronic converters in the rapidly expanding EV industry. Due to its ability to provide more significant voltage gains than conventional boost converters, the QBC has become a viable option for meeting the unique requirements of EV power systems. This survey focuses on the efficiency, power density, and overall performance parameters of QBC-based high-gain converters. The literature review provides a foundation for comprehending power electronics converters’ trends, challenges, and opportunities. The acquired knowledge can enhance the design and optimization of high-gain converters based on the QBC, thereby fostering more sustainable and efficient power systems for the expanding electric mobility industry. In the future, the report suggests that investigating new high-gain converter design methodologies will reduce component stress and enhance the intact system efficiency.

show abstract

“…In these voltage boosting situations, a high voltage gain converter is implemented. By altering a duty cycle, the converter rises the voltage at output to significantly higher levels relative to its input [11]- [13]. Buck-boost and Cuk [14] converters offer an option to have output voltage greater or lower than the input among topologies that are accessible.…”

Section: Introductionmentioning

confidence: 99%

Intelligent MPPT control for SEPIC-Luo converter in grid tied photovoltaic system

Prasad,

Anandhakumar,

Balamurugan

2024

IJAPE

View full text Add to dashboard Cite

Grid connected solar photovoltaic (SPV) systems are becoming more and more common due to steadily rising energy demand. The advantages of photovoltaic power generation, such as its eco-friendliness, low maintenance requirements, and lack of noise, are making it as a significant renewable energy source (RES). This framework presents the modeling and control design of PV grid tied system implemented with integrated single ended primary inductance (SEPIC) Luo converter. The main goal of this work includes investigating solar PV system behaviour and creating an effective grid connected solar power. Solar PV module tracks maximum power, with an aid of chaotic cascaded fuzzy a maximum power point tracking (MPPT) has developed. The DC voltage obtained is fed to 1Φ voltage source inverter (VSI) for conversion of AC voltage. In comparison to typical PWM control, the spectrum performance of the examined voltages is improved by adjusting the nominal duty cycle of main switch of SEPIC-Luo converter. So that PV output impedance is equivalent to DC-DC converter's input resistance. Finally, the obtained AC voltage is supplied to 1Φ grid for further applications. With less THD, an efficiency of 96% is achieved when the implementation of the suggested system is carried out using MATLAB/Simulink.

show abstract

Comparative Study of DC-DC Converters for Solar PV with Microgrid Applications

Cited by 21 publications

References 84 publications

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

A Critical Analysis of Quadratic Boost Based High-Gain Converters for Electric Vehicle Applications: A Review

Intelligent MPPT control for SEPIC-Luo converter in grid tied photovoltaic system

Contact Info

Product

Resources

About