A modified module integrated — Interleaved boost converter for standalone photovoltaic (PV) application

Pathy, Somashree; Sridhar, R.; Hari, Nikita; Dash, Shib Shankar; Subramani, C.

doi:10.1109/icrera.2016.7884483

Cited by 18 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The magnetizing inductances mismatch between two interleaved converters may create a current oscillations problem and increase switching losses [51]. Thus, the switching period of the slave will be equal to the master without any switching phase error.…”

Section: Pulsation Weightmentioning

confidence: 99%

A Review on Small Power Rating PV Inverter Topologies and Smart PV Inverters

et al. 2021

View full text Add to dashboard Cite

The two most critical deciding factors for power consumption are energy efficiency and cost. Power electronic circuits are widely used and play an important role in achieving high efficiency in power distribution to customers and power transfer from source to load. Furthermore, solar energy is abundant, sustainable, and pollution-free in nature. Power electronic circuits are used in high-power applications with voltages ranging from a few millivolts to thousands of volts and wattages ranging from a few mW to megawatts. This paper examines a variety of inverter topologies and their modeling, as well as a comparison of single-stage and multi-stage/inverter topologies depending on the application. The main aim of control techniques is to keep Total Harmonic Distortion (THD) to a minimum and the switching frequency within the permissible range so that inverters for renewable energy sources, electric vehicles, uninterruptible power supply (UPS) systems, and hybrid energy storage systems can work efficiently. Plug-and-play, adaptability, self-awareness, and other features should all be included in a smart inverter. Based on the findings of this comparative analysis, selection criteria are established. This comparative analysis can be used to develop selection criteria for choosing inverter circuits for the various applications described in this paper.

show abstract

Section: Pulsation Weightmentioning

confidence: 99%

A Review on Small Power Rating PV Inverter Topologies and Smart PV Inverters

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Furthermore, output voltage and switching stress are also both close. As a result, the given output voltage is considered the duty cycle with a lower value, increasing the converter's efficiency (Hu et al, 2014;Pathy et al, 2016;Shen and Chiu, 2016;Banaei et al, 2019). Therefore, in order to overcome the above issues, the integrated boost-flyback converter (IBFC) is used in this study.…”

Section: Introductionmentioning

confidence: 99%

Power quality improvement using a 31-level multi-level inverter with bio-inspired optimization approach

Praveena,

Sathishkumar

2024

Front. Energy Res.

View full text Add to dashboard Cite

In recent years, the power quality (PQ) improvements have been explored through various approaches. The employment of electronic devices with renewable energy sources has expanded the harmonics level of voltage and current. Due to harmonics, the PQ of a specific electrical system gets affected. At critical load conditions, the traditional PQ mitigation approaches fail to develop the performance of the system. Therefore, in this work, the Spider Monkey Optimization convolutional neural network (SM-CNN)-based 31-level multilevel inverter (MLI) is used. This method balances the reactive power demands and enhances real power in the grid-tied photovoltaic (PV) system. The maximum power point tracking (MPPT) algorithm depending on radial basis function neural networks (RBFNNs) is used to maximize PV power. For strengthening the voltage level of the PV and to generate higher DC voltage with a minimized switching loss, an integrated boost fly back converter (IBFC) is introduced. The presented technique is implemented in the MATLAB/Simulink platform to figure out the estimation of PQ issues. The suggested MLI lessens the total harmonic distortion (THD) value to 2.45% with an improved power factor.

show abstract

“…The proposed design is minimal and utilizes fewer segments. One and only PV source with one buck-support inductor is utilized and shared between the two half cycles, which averts awry task and parameter confuse issues [8]. Total harmonic distortion and DC segment of the current provided to the lattice is low contrasted with existing topologies [9].…”

Section: Introductionmentioning

confidence: 99%

A New Optimized ANN Algorithm Based Single Phase Grid Connected PV-Wind System Using Single Switch High Gain DC-DC Converter

Jayaraju¹,

Rao²

2019

EJEE

View full text Add to dashboard Cite

A novel topology of Single phase grid connected system based on photo voltaic system through high gain single switch DC-DC Luo converter is proposed in this paper. In this novel topology the single phase grid connected to PV-Wind system followed by Luo converter and single phase voltage source inverter. The PV system voltage fluctuation problems are overcome by maximum power point tracking algorithm. The new optimized Artificial Neural Network technique (ANN) is used. It extracts the maximum power from the PV system. To compare the conventional schemes the proposed topology is modeled with the help of reference frames includes direct axis and quadrature axis elements. The LUO converter inherits the advantages compared to other DC-DC to converter topologies. The ANN based MPPT algorithm shows excellent performance under various testing conditions and the outcomes are differentiated with P&O algorithm and Fuzzy based MPPT algorithm. The PWM generators are used to trigger the inverter and LUO converter. Steady state and transient response of the controllers are discussed and implement the excellent operation of the PV fed energy system. The grid current synchronization is achieved by using PI controller also reduces the THD and satisfies the IEEE harmonics standard. The proposed system reduces the power quality issues in the PV based single phase grid connected system.

show abstract

A modified module integrated — Interleaved boost converter for standalone photovoltaic (PV) application

Cited by 18 publications

References 21 publications

A Review on Small Power Rating PV Inverter Topologies and Smart PV Inverters

A Review on Small Power Rating PV Inverter Topologies and Smart PV Inverters

Power quality improvement using a 31-level multi-level inverter with bio-inspired optimization approach

A New Optimized ANN Algorithm Based Single Phase Grid Connected PV-Wind System Using Single Switch High Gain DC-DC Converter

Contact Info

Product

Resources

About