Super Lift Luo Converter Research Articles

High gain super lift Luo converter for hybrid energy management systems

Recently, there has been a resurgence of interest in the development of alternative energy supplies due to rising fossil fuel prices and issues about the effects of greenhouse gas emissions on the environment. Today's demand is the design of a hybrid electric power generation system that uses solar and wind energy for remote places. This paper presents the design of an optimized hybrid renewable energy system consisting of a photo voltaic wind turbine (savinous type) with a battery and a super lift LUO converter. A solar PV module with an intelligent inverter facilitates the tracking of the maximum power point and the implementation of a battery charge controller for greater battery lifespan as well as reliable performance. Higher power output and clean energy are available from the hybrid power generation system, which combines innovative techniques with solar and wind power.

Advanced controller design based on interval type-2 fuzzy neural network for elementary super-lift Luo converter

The elementary super-lift Luo converter is a third-order DC/DC step-up converter developed using the super-lift method that increases input voltage with low current and voltage ripples and a high voltage gain. On account of the nonlinearity and uncertainty incorporated with voltage, load changes, and switching operation of elementary super-lift Luo (ESLL) converter, it is a challenging task to design an efficient controller. To overcome these problems, this study proposes a new control approach based on interval type-2 fuzzy neural network (IT2FNN) to regulate a DC output current and voltage of ESLL converter. The parameters of IT2FNN were trained offline using a gradient descent algorithm. Mean square error (MSE), one of the most used statistical performance indicators, was used to evaluate the convergence accuracy performance of gradient descent algorithm. The DC output voltage regulation performance of IT2FNN was evaluated via a comparative simulation with interval type-2 fuzzy controller (IT2FC) and proportional + integral (PI) controller in MATLAB/Simulink environment in terms of settling time, average computational time, and recovery time under three different operational conditions: various reference voltages, input voltage, and load. Moreover, the DC output current regulation performance of IT2FNN was evaluated via a comparative simulation with IT2FC and PI controller in MATLAB/Simulink environment in terms of settling time and steady-state error under various reference current changes. The detailed simulation results obtained from comparative simulation validated the effectiveness of IT2FNN.

Optimization of solar energy using artificial neural network vs recurrent neural network controller with positive output super lift Luo converter

In today’s world, the need for clean energy is crucial. Historically, Renewable energy sources like hydropower, wind, and solar offer sustainable solutions. Photovoltaic (PV) systems convert sunlight into electricity using semiconductor PV cells, which have been efficient for over 30 years. PV cell efficiency depends on irradiance (solar photon intensity) and temperature. Higher irradiance increases efficiency, while higher temperatures decrease it. PV systems, despite low voltage outputs, can be optimized using DC-DC Positive Output Super Lift Luo converters to match load requirements, enhancing system efficiency. Solar irradiance varies throughout the day, affecting PV cell output. Maximum Power Point Trackers (MPPTs) adjust the system's operating point to maintain peak efficiency. This study focuses on designing AI controllers to manage MPPT. We compare the performance of Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) using three datasets. The goal is to identify the most efficient AI controller for optimizing solar energy systems.

Enhancing Grid-Connected Hybrid Renewable Energy System with Super Lift Luo Converter for Improved Power Management and Reduced THD

Enhancing Grid-Connected Hybrid Renewable Energy System with Super Lift Luo Converter for Improved Power Management and Reduced THD

Design and Implementation of Fuzzy sliding mode control (FSMC) approach for a Modified Negative Output Luo DC-DC Converter with its comparative analysis

Switching power converters bring a desired output magnitude using semiconductor devices. These switching converters are generally classified as voltage lift and super lift. The conventional lift converters such as buck, boost and buck–boost come under the category of voltage lift technique, in which the output voltage increases in arithmetic progression. The other lift approach that increases the output voltage in the geometric progression is the super-lift method. Nowadays super-lift converters find their role in various applications, because of their high gain and low ripple. The converter taken for analysis is a modified negative output super-lift Luo converter (MNOSLC). Current mode control (CMC) is employed to maintain a stable DC voltage at the load side. This is investigated using different types of controllers such as PI, fuzzy, sliding mode controller (SMC) and fuzzy SMC. The performance of these controllers is compared and it is found that fuzzy SMC results in better line and load regulation. A prototype is developed that validates the simulation results.

Design of Super-Lift Luo Converter for Electric Vehicle Applications

Electric vehicles (EVs) are replacing conventional vehicles in the automobile industry. An energy storage device (battery) plays a major role in providing a power supply to the vehicle. Due to automotive constraints, the power supply should be highly efficient and have low current and voltage ripple. The design of 12V-60V DC-DC Super-lift Luo Converter (SLLC) is proposed in this paper, with an emphasis on electric vehicle (EV) applications. The conventional boost converter (12V-60V) is modelled and analysed in Matlab Simulink and the output voltage ripple is calculated. A three-stage SLLC is then designed and modelled in Matlab Simulink. The voltage output is analysed for each stage and the ripple voltage is re-calculated. The comparison of voltage ripple between the CBC and SLLC shows that, the output ripple gets reduced by using the proposed SLLC.

Stabilization of Load Voltage under Fault Condition by Using Grid Integrated PV Fed Super Lift Luo Converter

Abstract: This paper focuses on performance of a DC-DC Converter called Super-Lift Luo Converter for load voltage stabilization during faults as well as during variation of temperature. The converter which is fed by a PV System as input stabilizes the DC output voltage during variation of temperature which is fed to a multilevel inverter where it gets converted to AC Voltage and this converter also improves voltage quality on AC Side during fault condition. In this work, first a normal Luo Converter performance is analyzed under fault conditions and then the Super-Lift Luo Converter performance is studied.

Mitigation of Voltage by Using PV-Connected Super-Lift Luo Converter under Variation of Temperature

Abstract: This paper focuses on application a special type of DC-DC Converter called Super-Lift Luo Converter for load voltage mitigation due to variation in temperature. The converter is fed by a PV(Photovoltaic) System as input and its output is converted to AC Voltage by a Cascaded H-Bridge Inverter and this is integrated with grid and connected to load. In this work, the SuperLift Luo Converter performance is studied.

Optimizing Energy Utilization in the Weaving Industry: Advanced Electrokinetic Solutions with Modified Piezo Matrix and Super Lift Luo Converter

This project aims to revolutionize energy utilization in the textile industry by optimizing Modified Piezo Matrix-based electro-kinetic energy generation from weaving power looms. It focuses on harnessing kinetic energy from two sources—the open-end head frame and the Weaving X-Y Shuttle box—both generating sequential kinetic energy during weaving. The experimental setup employs a specialized configuration: a 4(4x2) matrix piezo for the open-end head frame and a 2(2x10) matrix piezo for the Weaving X-Y Shuttle box. This arrangement efficiently captures and converts kinetic energy, resulting in remarkable energy outputs of 9.51 Hp and 2.60 Hp for the Open end Head frame and Weaving X-Y shuttle box, respectively. To further enhance energy utilization and integration, a second-level DC-DC power conversion approach is employed, utilizing the Super Lift Luo converter(90%η). This strategy ensures efficient energy transfer and seamless integration with the Industrial DC microgrid. The project’s objectives encompass minimizing reliance on fossil fuels, promoting sustainability, and highlighting the potential of electrokinetic solutions for industrial energy optimization. By tapping into previously overlooked kinetic energy sources and maximizing their conversion, this project presents a pioneering effort toward sustainable practices in the textile sector, contributing to environmentally-conscious production methods.

A New Effective APEAO Algorithm Assisted Positive Output-Super Lift Luo Converter with PV-Wind Energy System

The importance of renewable energy resources in the energy province necessitates the use of photovoltaic (PV) and wind systems to power brushless DC (BLDC) motors for applications such as water pumping and automobiles. In this research, an optimized MPPT-based positive output super-lift Luo converter (PO-SLLC) is presented for a hybrid power system with a BLDC motor to overcome the constraints of ordinary DC–DC converters. The Luo converter produces a positive output voltage which aids in achieving a high power density with fewer ripples in the voltage and current profile. The output voltage grows in geometric progression, increasing the converter’s efficiency, according to its mathematical model. Adjustment parameter enhanced Aquila optimization (APEAO) is used to optimize the duty cycle of the PO-SLLC from the MPPT controller and the controller parameters of the PI controller of the wind system. The proposed system’s behavior for variations in irradiation patterns with constant load torque is simulated in MATLAB/Simulink. The settling time and overshoot obtained with the proposed optimized controller are compared to those obtained with other optimization controllers, such as ant colony optimization (ACO), genetic algorithm (GA), Aquila optimization (AO), advanced version of harmony search algorithm (2N[Formula: see text][Formula: see text][Formula: see text]1-HSA) and opposition based quantum bat algorithm (OQBA) and it is demonstrated that the proposed APEAO optimized controller has good dynamic performance.

Conducted electromagnetic interference mitigation in super-lift Luo-converter for electric vehicle applications

In this article, a digital chaotic pulse width modulation (DCPWM)-dependent electromagnetic interference (EMI) noise attenuating procedure has been implemented. With the aid of a field programmable gate array (FPGA), a randomized carrier frequency modulation with a fixed duty cycle has been generated through chaotic carrier frequency, and this process is called DCPWM. Conducted EMI suppression is achieved in a 200 kHz, 40 W elementary positive output super lift Luo (EPOSLL) converter using the DCPWM technique. The results are compared and validated with periodic PWM over DCPWM in simulation and hardware with electromagnetic compatibility (EMC) standards. Besides, 9 dBV (2.81 V) of conducted EMI noise has been minimized in the DCPWM approach against periodic pulse width modulation method for the EPOSLL converter in electric vehicles applications.

A novel method for hybridization of super lift luo converter and boost converter for electric vehicle charging applications

ABSTRACT The demand for electric vehicles (EVs) has increased dramatically in recent years, making it increasingly challenging to keep up with the demand for charging infrastructure. However, conventional power converters (DC–DC converters) have drawbacks such as a high component count, low voltage gain, low efficiency, and high cost. A new DC–DC multiport converter has been proposed to address these challenges by hybridizing a Super-lift Luo and Boost Converter (SLBC) with Photovoltaic (PV) and battery sources as dual inputs. The proposed Dual-Input Dual-Output (DIDO) converter offers significant advantages by super-lifting the input voltage while producing two step-up voltages, one by the Luo converter and another by the Boost converter. The SLBC uses simple structures without any additional electric circuits or transformers to generate high voltage gain and high power efficiency. To evaluate the performance of the proposed SLBC, the converter operation has been analyzed under steady-state and Continuous Current Mode conditions, and a comparison with other similar configurations has been conducted to demonstrate its benefits. Simulation and experimental results have shown that the proposed SLBC offers a considerable reduction in conduction losses compared to other SLBC converters in similar situations. Furthermore, the SLBC system provides 1.2 kW output at the charger side with 94.8% efficiency, making it a viable option for powering various EV components, including the charger, motor, lighting, and audio system, with variable voltages.

Efficient Design, Analysis and Implementation of Super-Lift LUO Converter for Standalone PV Applications

Positive-output super-lift Luo converters (POSLCs) with low switching losses are the subject of this paper's analysis, design, and regulation. Due to their ability to boost voltage at higher levels, converter switching devices are rarely put under extreme voltage conditions. The input voltage to an active switching device is typically lower than the output voltage. This means that low-quality components are used to build the converter. The proposed conversion can be a good choice in PV micro converter applications requiring high voltage gain. The continuous conduction mode of the converter and its underlying operating principle and steady-state analysis are described. The converter's basic principle is demonstrated by constructing a working hardware prototype, which is tested in the lab. The outcomes demonstrate the benefits of employing an Arduino for voltage control. It has also been found that the converter achieves maximum efficiency of 95.3% at full load. The results were confirmed using MATLAB / Simulink in POSLC design with MPPT which is in agreement with the experimental results.

Design of Single Input Dual Output DC–DC Converter for Electric Vehicle Application

DC–DC converters are playing a vital in the electric vehicles (EVs) application. In current EVs, a separate DC–DC converter is used to charge both in the low voltage and the high‐voltage batteries. These factors have resulted in higher output voltage ripples, higher switching and device conduction losses, all of which can have an impact on EV performance. In addition, the previous mulitport converters have more number of energy storage elements and switching devices for EV application. To address these issues, this article proposes a multiport DC–DC converter charging circuit for EVs. The proposed circuit has a single‐input dual‐output (SIDO) structure that consists of a positive output boost converter (POBC) with integration of buck converter (POBCIBC). Here, the POBC is used to stepping‐up the voltage, while the buck converter is used to step‐down the voltage. The POBC is a fundamental topology composed of Cascaded Boost Super Lift Luo Converters. The designed POBCIBC has several advantages such as reduced output voltage ripples, high‐voltage transfer gain, proficient efficiency, lower switching and conduction losses, less number of storage components, and a compact structure over the existing multiport converters. The performance of the POBCIBC is tested at different operating conditions by constructing the MATLAB/Simulink and prototype models. The proposed converter has produced different output voltage levels based on their duty cycles variations. The results are presented to show the proficient POBCIBC for the EV application.

Effect of switched-capacitor on super-lift Luo converter

With the increasing need for solar energy and the need for DC-DC converters that are more efficient, smaller in size, less expensive, and faster in response, in this paper, we will modify the positive output super-lift Luo converter using a switched-capacitor cell. It consists of two capacitors that are charged in parallel and discharged in series to raise the output voltage, the use of capacitors in-stead of inductors increases the voltage, because capacitors are more efficient and have a smaller size than inductors and provide faster and smoother charging and discharging than inductors, so a capacitive cell has been used. The circuit was simulated using the physical security information management (PSIM) program. The current, voltage, and gain co-efficient waves were analyzed and the theoretical equations were proven. The circuit was also linked with the maximum power point tracker using the same program with a solar cell to get the most benefit from the solar energy using this type of converter.

Comparison between boost and positive output super lift Luo converters to improve the performance of photovoltaic system

Employment DC-DC switching power converters in many different areas become is very important. In this paper, three different models of the photovoltaic solar module were proposed in order to designing, implementation, and simulated them in MATLAB/Simulink with the boost converter circuit first and then with the positive output super lift Luo (POSLL) converter circuit again. A comparison was made between the two circuits, as well as a theoretical and simulation values were made and compared between them (in the same standard conditions) for each of these selected models. So as to improving solar system performance and clarify the functions played by POSLL in power electronic circuits.

A New Non-Isolated High-Gain Single-Switch DC–DC Converter Topology with a Continuous Input Current

An ultra-high step-up, non-isolated DC–DC converter with a continuous input current was developed as a result of this research. This converter’s architecture consists of a voltage multiplier cell (VMC), a positive output super lift Luo converter (POSLLC), and a quadratic boost converter (QBS) (also referred to as a cascaded boost topology (CBT)). Thus, the bold points of the topologies mentioned earlier enhance the voltage gain of the proposed topology. It is important to note that when the duty cycle is at 50%, the converter attains a voltage gain of ten. Additionally, the constant input current of the topology reduces the current stress on the input filter capacitor. This converter’s topology was investigated and studied under various operating conditions: ideal and non-ideal modes, as well as continuous and discontinuous current modes (CCM/DCM). The converter’s efficiency and voltage gain were also compared to those of newly proposed converters. PLECS and MATLAB software tools were used in the investigation of the proposed topology. A 200 V/200 W prototype was constructed. The experimental results validated the theoretical study and the simulation results. The extracted efficiency was 91%.

An ultra high step‐up DC‐DC converter based on VMC, POSLLC, and boost converter

In this article, an ultra-high step-up DC-DC converter has been proposed. The topology of the converter is a combination of a cascaded boost converter, positive output super lift Luo converter (POS LLC), and a voltage multiplier cell (VMC). The lower values of the duty cycle provide a more than 10 times voltage gain. Consequently, the high voltage gain has been provided beside the lower value of the voltage/current stress of the semiconductor and an acceptable value of the efficiency. With a detailed look, it can be understood the voltage gain and efficiency of the converter have become 12 times and 90.5% based on the experimental results while the percentage of the duty cycle has become 50%. Moreover, by the mentioned percentage of the duty cycle, the normalized value of the voltage/current stress of the semiconductors has become lower than 50% by exception of only 3 semiconductor-based components which have voltage/current stresses more than 50% and lower than the unity. In addition to all the mentioned advantages, the input current has remained continuous which solves the challenges of the input filter's capacitor. Moreover, the voltage/current stresses have been kept low-valued. The ideal mode of the topology has been discussed for both continuous/discontinuous current modes. The non-ideal mode of the topology and its related comparisons have been done. A comparison of the voltage/current stresses of the semiconductor-based components has been done. Moreover, the comparison of the losses and efficiency have been done for the proposed converter and recently suggested topologies. In addition, the efficiency has been discussed for the different values of its effective factors and the resulted behavior has been expressed. Finally, the simulation and experimental outcomes have been extracted for a 120 W output power and compared with the theoretical relations' results.

Design of Hybrid Posicast Control for Super-Lift Luo Converter

This article investigates a new Hybrid Posicast Controller (HPC) for Fundamental Positive Output Super-Lift Luo Converter (FPOSLLC) in Continuous Conduction Mode (CCM). It is a feedforward controller that decreases the flippantly damped plant overshoot in the step result. However, because of fluctuations in the natural frequency, the traditional controller technique is sensitive. In this article, a novel HPC is built to alleviate the FPOSLLC’s undesired sensitivity and load voltage control. HPC has a feedback loop and a posicast structure. The main design function of posicast is its independent computational time delay. By creating a MATLAB/Simulink model, the FPOSLLC implementation with HPC may be verified under various operating conditions. In comparison to standard PID control, the results of the new HPC have produced little noise in the control signal.

Design of type‐2 fuzzy logic controller optimized with firefly algorithm for maximum power point tracking of photovoltaic system based on super lift Luo converter

AbstractThe efficiency is a very important parameter for photovoltaic systems. Positive output elementary super lift Luo converter classified as high gain DC‐DC converter are used in photovoltaic systems because of their advantages such as high efficiency, reduced ripples, and low switching loss. The drawback of the photovoltaic system based on this converter is its sensitivity to small changes on the control signal. Both maximum power point tracking and control signal stability require a powerful control system as this is a challenging task for the photovoltaic system. Interval type‐2 fuzzy logic systems have recently been utilized in many control processes due to their ability to model uncertainties better than type‐1 fuzzy logic systems. In this work, interval type‐2 Takagi–Sugeno–Kang fuzzy logic controller was first designed as a controller. Then, the controller, which was proposed for this paper, was optimized with the Firefly Algorithm to improve the control performance. Performance of controllers is evaluated via comparative simulation studies under the most demanding environmental conditions. It has been observed that the proposed controller reduces the settling time by more than 50% and increases the efficiency up to 10% according to the simulation situations.