High Voltage Gain DC-DC Converter Research Articles

Performance of Integrated High Voltage Gain DC-DC Converter and Diode Clamped Multi Level Inverter with Renewable Energy Source in Standalone Applications

Performance of Integrated High Voltage Gain DC-DC Converter and Diode Clamped Multi Level Inverter with Renewable Energy Source in Standalone Applications

Simulation and optimization of EMI filter of conducted emission for high voltage gain DC-DC converter

In the continuity of the work on design of high voltage gain DC-DC converter, used for feeding the CubeSat electrospray thrusters with a variable output voltage according to the maneuver size, this paper introduces a simulation of the converter model with MATLAB/Simulink to determine its conducted emission level. By referring to the MIL-STD-461 standard, a required passive electromagnetic interference (EMI) filter parameters are calculated to reduce, under thresholds, the converter noise. With consideration of the available volume and power constraints in this kind of satellite, the design of common-mode (CM) choke is optimized with proposed procedure optimization, so as to reduce its volume and electrical losses. Also, this optimization procedure can be generalized and applied for any passive EMI filter design.

A non-isolated extended voltage gain quadratic boost converter with reduced device voltage stress and continuous input current

ABSTRACT This article presents an improved model of a high voltage gain DC-DC converter topology. The voltage gain of the proposed topology is extended using a newly structured cascaded boost converter with voltage doubler cells along with the Super Luo structure in the network. The ultimate aim is to improve the output voltage gain of the proposed converter to a higher level with a lower duty cycle. Additionally, the design considerations minimize the voltage stress of the components (diodes, capacitors, and semiconductor switches) compared to the conventional topology. Moreover, the proposed topology ensures a continuous input current to the structure. Mathematical modeling is developed using steady-state analysis, and the results are analyzed using the MATLAB/Simulink. Finally, the proposed converter provides a high gain, that is, 10, at a lower duty cycle of 0.32 with reduced voltage stress on the components.

Interleaved High Voltage Gain DC-DC Converter with Winding-Cross-Coupled Inductors and Voltage Multiplier Cells for Photovoltaic Systems

An interleaved high voltage gain DC-DC converter with winding-cross-coupled inductors (WCCIs) and voltage multiplier cells is proposed for photovoltaic systems. The converter configuration is based on the interleaved boost converter integrating the diode-capacitor clamp circuits, the winding-cross-coupled inductors, and voltage multiplier cells to increase the voltage gain and reduce the semiconductor voltage stresses. The equal current sharing of two phases is achieved with the help of the winding-cross-coupled inductors. The converter achieves high voltage gain while operating at a proper duty ratio. The low-voltage-rated MOSFETs with low on-resistance are available to reduce the conduction losses due to the low switch voltage stress. The leakage energy of the coupled inductors is recycled such that the voltage spikes on the power switches are avoided. The input current ripple is decreased due to the interleaved operation. The operating principle and steady-state analysis of the proposed converter are proposed in detail. The design guidelines of the proposed converter are given. In addition, the closed-loop controlled system of the proposed converter is designed to diminish the effect of the variations in input voltage and load on the output voltage. Finally, the experimental results of a 1000 W converter prototype with 36 V input and 400 V output are given to validate the theoretical analysis and the converter performance.

Improving Performance of Solar Array Fed BLDC Drive Using Firefly Algorithm Based High Gain Converter

The improved transient response of PID controller for improved Luo converter supplied Brushless DC (BLDC) motor using solar energy source is extensively investigated. The BLDC drive uses a hybrid PV system and battery-based power generation as a power source to assure continuous power supply to pump water regardless of solar insolation. The PV system serves as the main energy source, and the battery providing as a backup source that discharged its power only during inclement weather or at night if the photovoltaic panel is insufficient to operate the centrifugal pump. The solar panel feeds power into the battery, whenever water to the field is not required, thus there is no need for an extra power source to charge the batteries. The high output voltage gain DC-DC converter does not make any discomfit to the system performance in regards to irradiance variation, switching loss, or power loss by converter or motor side respectively. Moreover, current sensor, voltage sensor, and control circuits are completed excluded which enhance performance and the cost of the system get reduced effectively. A bidirectional charging control allows a bi-directional converter to alter the battery operation mode automatically. The overall system performance is validated using simulation and experimental setup.

Single Switch High Voltage Gain DC-DC Converter for Renewable Energy Applications

Single Switch High Voltage Gain DC-DC Converter for Renewable Energy Applications

Y-source Coupled Inductor Based High Voltage Gain DC-DC Converter with Zero Input Current Ripple

Y-source Coupled Inductor Based High Voltage Gain DC-DC Converter with Zero Input Current Ripple

Single switch high voltage gain DC-DC converter for renewable energy applications

Single switch high voltage gain DC-DC converter for renewable energy applications

Implementation of non-isolated high-gain DC-DC converter for electric vehicle application

ABSTRACT This paper introduces a non-isolated high voltage gain DC-DC converter for electric vehicles (EVs). The proposed converter schematic is modelled to be operated on reasonable duty cycle by employing passive switched inductor (PSL) cell and voltage multipliers. Moreover, this structure is functioning on continuous conduction mode (CCM) with a wide range of operations. This structure offers high voltage gain, lower voltage stress across all the devices, low switching losses and high efficiency. Thus, simple proportional integral (PI) controller is adopted to regulate the output to the desired voltage of 200 V. The proposed converter is designed and simulated using MATLAB/Simulink platform and hardware prototype of 100 W/200 V is developed to examine the performance of the proposed circuit. Besides, the experimental results are recorded to prove its robustness over both source voltage and load power discrepancies. The efficiency of the presented configuration is around 91% and it acts as a good choice for EV applications.

Modelling and Simulation of Hybrid Electric Vehicle Based on MATLAB/ Simulink

Abstract: Due to the more vigorous regulations on carbon gas emissions and fuel economy, Fuel Cell Electric Vehicles (FCEV) are becoming more popular in the automobile industry. This paper presents a neural network based Maximum Power Point Tracking (MPPT) controller for 1.26 kW Proton Exchange Membrane Fuel Cell (PEMFC), supplying electric vehicle powertrain through a high voltage-gain DC-DC boost converter. The proposed neural network MPPT controller uses Radial Basis Function Network (RBFN) algorithm for tracking the Maximum Power Point (MPP) of the PEMFC. High switching frequency and high voltage gain DC-DC converters are essential for the propulsion of FCEV. In order to attain high voltage gain, a three-phase high voltage gain Interleaved Boost Converter (IBC) is also designed for FCEV system. The interleaving technique reduces the input current ripple and voltage stress on the power semiconductor devices. The performance analysis of the FCEV system with RBFN based MPPT controller is compared with the Fuzzy Logic Controller (FLC) in MATLAB/Simulink platform.

Fuel Cell Fed Electrical Vehicle Performance Analysis with Enriched Switched Parameter Cuk Converter

Background: This study aims to evaluate the performance of a 1.26 kW Proton Exchange Membrane Fuel Cell (PEMFC) fed Electric Vehicle (EV) using an Enriched Switched Parameter Cuk (ESPC) converter and an Elman Back Propagation (EBP) maximum power point tracking algorithm (MPPT). The acceptance of fuel cell-fed EVs in modern society is critical to the development of a pollution-free environment. One of the significant contributors to excessive pollution is transportation on public roads using internal combustion engines powered by crude oil as their primary energy source. Objective: This study identifies suitable high voltage gain DC-DC converters with minimum duty cycle operation for fuel cell-fed electric vehicle systems and develops an intelligent MPPT controller for hybrid electric vehicle applications. Methods: In this study, MATLAB/Simulink environment is used to design a 1.26 kW PEMFC powered electric vehicle. To integrate PEMFC to BLDC motor, an Enriched Switched Parameter Cuk converter is built with a high static converter voltage gain. Results: The effectiveness and performance of the fuel cell-fed EV system are investigated using perturb and observe method and Elman Back Propagation MPPT approaches for various fuel cell input temperature conditions and intervals. Conclusion: This study discusses the use of low-voltage fuel cell sources with power electronic converters that are available for various high gains in the literature. The proposed ESPC is designed to reduce stress on power converter components and is intended for low-voltage FC-fed electric vehicle applications.

High Gain Magnetically Coupled Single Switch Quadratic Modified SEPIC DC-DC Converter

This article proposes, analyzes, and tests an improved high voltage gain dc-dc converter based on a single-ended primary-inductor converter (SEPIC). The proposed magnetically coupled quadratic modified SEPIC converter (MCQ-MSC) employs a coupled transformer with an optimized design to obtain a high voltage boost factor by controlling the transformer's turn ratio along with the switching duty cycle. Thanks to the unique structure of the coupled transformer, high voltage gain is obtained at low turns ratio, which is highly desirable for high voltage applications and the compact size of the converter. In addition to the coupled transformer, a voltage-boosting module is utilized to achieve a very high output voltage for a low switching duty cycle. The proposed inverter has a single switch with a wide control range of duty cycle (0<D<1), causing low conducting losses and high efficiency. Furthermore, a clamping circuit is successfully designed to remove the leakage inductance effects of the coupled transformer on the power switch. The proposed MCQ-MSC drains a continuous current from the input dc source, which makes it a suitable choice for renewable energy sources (RES). The hardware prototype of the proposed converter is tested to verify the mathematical expressions and theoretical results.

HIGH VOLTAGE GAIN DC-DC CONVERTER WITH SWITCHING INDUCTOR AND TWO SWITCHES

HIGH VOLTAGE GAIN DC-DC CONVERTER WITH SWITCHING INDUCTOR AND TWO SWITCHES

A Coyote Optimization-Based Residual Attention Echo State Reactive Controller for Improving Power Quality in Grid-PV Systems

Improving the power quality and reactive injection capability of grid-PV systems represent the most demanding and crucial tasks in power systems. In the conventional works, many types of converters and regulating approaches have been designed for this goal. The multi-level inverter (MLI) is the best solution for grid-PV systems since it helps to improve power quality while reducing losses. However, the existing works face the key problems of the complex system model, increased components utilization, computational burden, presence of harmonics, and high switching frequency. Therefore, the proposed work aims to develop novel and advanced controlling techniques for improving the reactive power compensation ability and power quality of grid-PV systems. The original contribution of this paper is to implement an advanced soft-computing methodologies for developing the controlling mechanisms. At first, an ATOM search optimization (AOS) based MPPT controlling technique is used to extract the maximum electrical energy from the PV panels under changing climatic situations. Then, the output voltage of PV is effectively regulated with the help of a non-isolated high voltage gain DC-DC converter, which also supports the reduction of the switching loss and frequencies. In order to generate the switching pulses for operating the converter, a novel coyote optimized converter control (COCC) mechanism is developed in this work. Moreover, a residual attention echo state reactive controller (RaERC) is implemented for generating the controlling signals to actuate the switching components of the nine-level inverter. This kind of controlling mechanism could highly improve the power quality of grid system with less processing time. For assessment, the simulation and comparison results of the proposed controlling mechanisms are validated and tested using various parameters.

Design of GWO based fuzzy MPPT controller for fuel cell fed EV application with high voltage gain DC-DC converter

As of now, the world is focusing on Electric Vehicle (EV) technology in order to meet the future electricity demand. The fuel cell plays an important role in the EV system for supplying the electricity to the motor. However, the fuel cell gives nonlinear power versus current characteristics. As a result, the peak power supply to the motor is very difficult. In this regard, the Maximum Power Point Tracking (MPPT) controller is interconnected with the fuel cell system for finding the required working point of the proposed system. In this work, a Grey Wolf Controller (GWC) based fuzzy technique is proposed for extracting the peak power of the fuel stack. The features of proposed power point tracking technique are high reliability, good tracking speed, fast convergence, less number of iterations needed to find out the MPP location, high efficient, and good dynamic response. Here, another drawback of fuel cell is low supply voltage which is overcome by using the high voltage gain DC-DC Converter. The features of proposed converter are less current stress on power semiconductor devices, high load current sharing capability, high voltage gain, few load voltage ripples, and good voltage stability. The proposed fuel cell power generation system performance is investigated by utilizing the MATLAB/Simulink window.

Maximum Power Point Tracking Performance Benchmarking of High Step-Up DC-DC Converters

Since renewable energy sources (RESs) such as photovoltaic (PV) and wind energy have low output voltage and intermittent output power, they are frequently equipped with step-up DC-DC converters to boost the output voltage and extract maximum power. In this study, maximum power point tracking (MPPT) performance comparisons of high voltage gain DC-DC converters, which are frequently used in PV-powered systems, have been presented. Three different high gain step-up DC-DC converter topologies: (i) quadratic boost converter (QBC), (ii) three level boost converter (TLBC), (iii) stacked boost converter (SBC) have been analysed under MPPT mode that uses the Perturb and Observe (P&amp;O) algorithm. 5.11 kW PV-powered system has been modelled in the MATLAB/Simulink environment for each converter considering the same design specifications such as; 10 kHz switching frequency, 1 mΩ Ron resistance. The related topologies have been simulated under different irradiances: 1000, 900, 850, 750 and 700. Performance results of the aforementioned topologies have been compared in terms of the maximum power of PV panel, the energy efficiency of converters, output voltage ripple and output current ripple. The results reveal that; the TLBC extracts maximum power from PV panels with the converter efficiency 98.9%. The SBC and QBC extract minimum power from PV panels with the converter efficiency 98.1% and 96.5%, respectively. As a consequence, TLBC topology excels with the maximum power extraction capability and efficiency.

Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers

The entire globe is now focused on generating power using solar photovoltaic (SPV) cells. The SPV is generating the DC power, by using power converters to satisfy the load requirement. In this article, a modified High-Voltage DC-DC converter was explained. The main intention of the modified converter is to decrease the reverse recovery currents and voltage stress across the switch, similarly, it generates high voltage at the converter output. The modified converter contains mainly-one diode, two capacitors, and Coupled Inductor (CI). When the converter switch comes under active state two capacitors are discharged in series, similarly when the converter switch under inactive state those two capacitors are charged in parallel through the coupled inductor (CI) energy so, to get a high voltage at the converter output side. To reuse the leakage-inductor (LI) energy of the CI with the help of a passive clamp circuit for reducing the voltage stress across the switch, similarly switch has less resistance so conduction losses also decreased. In this manner, the converter efficiency was improved and the diode recovery problem also solved. For the converter duty cycle controlling, Proportional-Integral (PI) and Neural Network (NN) controllers were used. The performance and analysis of the modified converter were described in detail with the help of both controllers. Here, 48 V is doubled to 400 V. By modifying the converter's parameters, its behavior is evaluated. In this converter, voltage spikes and reverse recovery currents should be minimal. The converter's switching pulse can be adjusted by PI or NN. The entire system was designed in MATLAB/ Simulink tool.

A novel auxiliary unit based high gain DC-DC converter for solar PV system with MPPT control

&lt;span lang="HR"&gt;Solar photovoltaic (PV) system becomes popular to generate the electricity in Asian region and helps to reduce the burden to utility. The power converter plays crucial role to interconnect with DC- grid. Traditional type power DC-DC converter can able to extract the maximum power from solar PV. However, most of the applications, it often fails to meet the voltage level of the DC bus and additional converter is required to boosting p the DC voltage. In order to overcome this drawback, this paper proposes a novel DC-DC converter to extract the maximum power from solar PV and helps to enhance the voltage level to meet the DC-bus. The PV and IV characteristics of practical solar PV cell and mathematical modelling have been done and implemented the same to proposed high gain converter. The maximum power point tracking (MPPT) algorithm and operation details are addressed and the detailed operation waveform of proposed high voltage gain DC-DC converter with mathematical evident is reported in this paper. The simulation study was carried out in the PSCAD/EMDTC software. From the measured results, it is investigated in further to validate the MPPT operation, gain values achievement and performance analysis of proposed converter. The corresponding explanations and results are presented in this article.&lt;/span&gt;

Modified High Gain DC-DC Converter with APICs for Microgrid

This paper proposes a nonisolated high voltage gain DC-DC converter. The active–passive inductor cells (APICs) makes the converter topology expandable, and it also helps in providing a high gain quality at lower duty cycles. The proposed converter is suitable for high gain applications mainly necessitating microgrid as well as integration of renewable energy sources into the existing grid infrastructure. The merits of the converter can be attributed to the ability to achieve high gain and low current stress and switching losses on power electronic switches. The proposed converter is analyzed in both continuous and discontinuous modes of operation, the efficiency is calculated and simulation results substantiate the operation of the converter.

Design of LLC resonant converter with silicon carbide MOSFET switches and nonlinear adaptive sliding controller for brushless DC motor system

Introduction. The high voltage gain DC-DC converters are increasingly used in many power electronics application systems, due to their benefits of increased voltage output, reduced noise contents, uninterrupted power supply, and ensured system reliability. Most of the existing works are highly concentrated on developing the high voltage DC-DC converter and controller topologies for goal improving the steady state response of brushless DC motor driving system and also obtain the regulated voltage with increased power density and reduced harmonics, the LLC resonant DC-DC converter is implemented with the silicon carbide MOSFET switching devices Problem. Yet, it facing the major problems of increased switching loss, conduction loss, error outputs, time consumption, and reduced efficiency. Also the existing works are mainly concentrating on improving the voltage gain, regulation, and operating performance of the power system with reduced loss of factors by using the different types of converters and controlling techniques. The goal of this work is to obtain the improved voltage gain output with reduced loss factors and harmonic distortions. Method. Because, this type of converter has the ability to generate the high gain DC output voltage fed to the brushless DC motor with reduced harmonics and loss factors. Also, the nonlinear adaptive sliding controller is implemented to generate the controlling pulses for triggering the switching components properly. For this operation, the best gain parameters are selected based on the duty cycle, feedback DC voltage and current, and gain of silicon carbide MOSFET. By using this, the controlling signals are generated and given to the converter, which helps to control the brushless DC motor with steady state error. Practical value. The simulation results of the proposed LLC silicon carbide MOSFET incorporated with nonlinear adaptive sliding controller controlling scheme are validated and compared by using various evaluation indicators.