Performance Of Inverter Research Articles

Heterogeneous monolithic 3D integration for hybrid vertical CMOS inverter using n-type IGTO TFT on p-type Si FET

In this work, a complementary metal oxide semiconductor (CMOS) vertical inverter using heterogeneous monolithic 3D (M3D) integration with p-type Si field-effect transistor (FET) and n-type indium-gallium-tin-oxide (IGTO) thin film transistor (TFT) was implemented and characterized. This CMOS inverter was attained by vertical stacking n-type IGTO TFT on p-type Si FET. Oxide semiconductor materials such as indium-gallium-zinc-oxide (IGZO), indium-tungsten-oxide (IWO), indium oxide (In2O3) and IGTO are being considered as potential options for channel materials in M3D integration technology due to high electrical characteristics and low temperature process. Among them, IGTO was employed as a channel material to achieve high mobility. We fabricated a n-type IGTO TFT using HfO2 and tungsten as a gate dielectric and electrode, respectively. The post-annealing process was conducted at 200–500 °C with 50 °C intervals. The IGTO TFT exhibits a high field-effect mobility (32.9 cm2/Vs), low sub-threshold swing (0.070 V/dec) and stable reliability behaviour (ΔVth < 0.4 V) against various external gate bias temperature stress tests in a low temperature (<500 °C). The stable heterogeneous vertical inverter performance such as voltage-transfer curve (VM = 1.66 V), voltage gain (30.1 V at VDD = 3 V), and noise margin (NMH = 1.22 V, NML = 1.34 V) were well behaved. This M3D integration-based hybrid CMOS inverter can be an alternative knob toward various device applications.

Control of Grid-Tied Inverter During Unbalanced Transient Fault

With increasing use of renewable and clean form of energy, PV systems have become popular due to its versatility and easy implementation. The overall performance of grid-connected PV systems is directly influenced by the performance of grid-tied inverter. Hence, control of grid-tied PV inverter has become a temptation. This project explores the development of grid-connected PV system and optimization of control strategies for grid-tied inverter to ensure its seamless operation and grid stability during transient faults. The transient faults occurring at the inverter side disrupts the normal operation of inverter and even lead to shut down of inverter during faults.Therefore, a control strategy is suggested and developed to control the overvoltage of DC-link capacitor and deliberately functioning and output of grid-tied inverter is improved. This is simply possible by introducing ELC so that the inverter needs not be shut down.

Assessing PV inverter efficiency degradation under semi-arid conditions: A case study in Morocco

The worldwide shift towards renewable energy sources, including solar and wind, is progressing rapidly. This change is driven by decreasing prices and technical advancements that are becoming more centralized. The objective is to develop a cutting-edge approach and technology that seamlessly incorporates photovoltaic (PV) energy sources into a power network while ensuring grid stability. This research evaluates the lifetime and degradation of PV inverters under real operating conditions, focusing on semi-arid climate scenarios. Current papers demonstrate a yearly failure rate of 1–15% for PV inverters, highlighting the need for a thorough reliability evaluation. This investigation research applied a unique technique that included continuous monitoring of PV inverter performance parameters by comparing the measured with the predicted normal operating output. The results show that Sandia's inverter performance model is highly suitable for accurately modeling normal PV inverter behavior. Furthermore, weighted efficiency dropped by 3.96%, 0.63% and 1.29% respectively for 7kW, 15kW and 20kW photovoltaic systems over the five years. These findings have implications for comprehensive maintenance strategies, including regular inspections, safety protocols, and remote monitoring solutions. Ultimately, this research paper sheds light on the causes of declining solar inverter performance and provides suggestions for enhancing PV plant maintenance and reliability. It also represents an outstanding reference given the literature shortage.

Finite control set model predictive current control for three phase grid connected inverter with common mode voltage suppression

This research introduces an advanced finite control set model predictive current control (FCS-MPCC) specifically tailored for three-phase grid-connected inverters, with a primary focus on the suppression of common mode voltage (CMV). CMV is known for causing a range of issues, including leakage currents, electromagnetic interference (EMI), and accelerated system degradation. The proposed control strategy employs a system model that predicts the inverter’s future states, enabling the selection of optimal switching states from a finite set to achieve dual objectives: precise current control and effective CMV reduction, a meticulously designed cost function evaluates the potential switching states, balancing the accuracy of current tracking against the necessity to minimize CMV. The approach is grounded in a comprehensive mathematical model that captures the dynamics of CMV within the system, and it utilizes an optimization process that functions in real-time to determine the most suitable control action at each interval, Experimental validations of the proposed FCS-MPCC scheme have demonstrated its effectiveness in significantly improving the performance and durability of three-phase grid-connected inverters, Experimental validations of the proposed (MPC with CMV) scheme have demonstrated its effectiveness in significantly improving the performance and durability of three-phase grid-connected inverters. The proposed method achieved substantial reductions in CMV, notable improvements in current tracking accuracy, and extended system lifespan compared to conventional control methods.

Optimizing Energy Storage and Hybrid Inverter Performance in Smart Grids Through Machine Learning

Optimizing Energy Storage and Hybrid Inverter Performance in Smart Grids Through Machine Learning

Enhancing performance of shipboard photovoltaic grid-connected inverter through CRNN-LM-BP control optimized by particle swarm optimization of LCL parameters

The global renewable energy portfolio is experiencing a growing proportion of shipboard photovoltaic (PV) energy. Grid-connected system has become the development trend of photovoltaic power generation technology in marine applications because of its high energy utilization efficiency. However, in the grid-connected process, harmonic pollution is easily caused by time-varying marine environment disturbance, which affects the quality of grid-connected power. The current recurrent neural network Levenberg-Marquardt backpropagation (CRNN-LM-BP) method, a control methodology, is introduced in this paper to ensure the robustness, stability, and consistency of the system. In addition, the inductance-capacitance-inductance (LCL) filter is optimized using particle swarm optimization (PSO) to minimize the presence of high frequency harmonics. The system that has been developed possesses the ability to improve the accuracy of steady-state control, operate with high efficiency and effectiveness, and maintain a total harmonic distortion of 1.73 %. Concurrently, streamlining the Jacobian matrix in the LM algorithm expedites convergence. It enables the system to improve its dynamic response, minimize excess, and quickly return to a stable condition when faced with load variations, a wide range of filter parameter adjustments, and voltage fluctuations. The suggested method’s effectiveness and applicability are evaluated by comparing it to the traditional proportional-resonant control, CRNN-BP control, using Matlab/Simulink and the real-time simulator OPAL-RT5700..

Enhancing robustness and control performance of voltage source inverters using Kalman filter adaptive observer and ANN-based model predictive controller

Enhancing robustness and control performance of voltage source inverters using Kalman filter adaptive observer and ANN-based model predictive controller

Reactive compensation in distribution systems and volt/var control analysis: Mutual performance of inverters and curve slope effects

The high penetration of photovoltaic distributed generation is causing overvoltage in distribution networks due to the reverse active power flow. Proposals to mitigate this problem through Volt/Var control (VVC) by photovoltaic inverters are being discussed. However, the configuration of the appropriate Volt/Var curve depends on the topological factors of each system. In this context, this paper presents a practical methodology for calculating the reactive compensation of the local VVC. In addition, the impact of the slope of the curve on power quality and the problems of mutual actuation of inverters in the VVC are analyzed. The studies were conducted in quasistatic time series (QSTS) mode on the IEEE 33 bus system. The slope of the curve affects grid losses and the substation power factor, and can mitigate the negative effects of the mutual actuation of the inverters in the VVC. Based on this, guidelines were established to adapt the definition of the slope to the characteristics of each system.

Model predictive control of 3L‐NPC inverter to enhance fault ride through capability under unbalanced grid conditions

AbstractUnbalanced voltages are becoming increasingly common in distribution networks due to the growing integrations of distributed renewable energy resources as well as large loads such as electric vehicle chargers. Such unbalanced voltages introduce significant control challenges as they produce ripples in the controlling signals, impacting the operation of inverters during the unbalanced conditions. Therefore, this paper proposes a controlling algorithm for three‐level inverters aimed at suppressing these ripples on controlling signals; improving the overall performance of inverters, and consequently enhancing the fault ride‐through capability under unbalanced conditions and faults. The proposed controlling algorithm enables inverters to operate in either a balanced current output mode or a suppressed‐ripple active power output mode, depending on the specific event scenario and demands from the grid operators. Current harmonics are suppressed even under severe faults. For improving the voltage balance on the DC capacitors in three‐level inverters, an enhanced method of neutral point current prediction is presented. The proposed method ensures higher balancing accuracy through the use of weighted switching costs, avoiding the requirement of a balancing controller or current extrapolation. Simulation and experimental results demonstrate the effectiveness of the proposed controller for reliable grid operation.

Expanded virtual vector-based model forecastable control strategy for three-phase two-level inverters

Abstract A three-phase, two-level inverter based on model forecastable control has good transient performance but poor steady-state performance. Considering the limitation of a limited number of discrete voltage vectors in a two-level inverter topology, this paper proposes a virtual vector model prediction method based on the analysis of a time-stepped forecasting model for a three-phase grid-connected inverter. First, three fixed virtual voltage vectors are constructed in each sector, and the action time of the required fundamental vector is found. Then, the cost function is constructed, and the optimum is selected among the virtual and fundamental voltage vectors in each sector. Finally, a hardware-in-the-loop experiment was carried out based on the PE-Expert4 experimental platform developed by Myway Co., LTD. The results show that the proposed virtual vector model forecastable control strategy can effectively improve the transient and steady-state performance of three-phase two-level inverters.

A novel seven‐level inverter with high gain and reducing spike current capabilities

SummaryThis paper describes a novel seven‐level (7L) inverter. The suggested topology offers a 7L output voltage and a threefold gain by using proper capacitor values. The suggested topology reduces the spike current induced by the capacitor by the use of a resonant inductor. The suggested inverter's performance under various loads and situations is compared with those found in existing literature. The simulation findings confirm the system's strong performance in terms of component count, control circuit simplicity, and possible cost reductions, while retaining similar or enhanced performance metrics as compared with the aforementioned topologies. A laboratory setup is used to validate the feasibility of the suggested topology and provide solid evidence of its effectiveness. Furthermore, discussions about the possible uses of this structure in energy conversion are conducted.

Optimizing Grid-Connected Inverter Performance Through Voltage Stability Control

Everyday, non-renewable energy sources are being depleted while energy use rises. In response to these arguments, we ought to generate more renewable energy. But a big problem with renewable energy is that its production is weather-dependent. In overcast and unfavorable weather, the energy generated on the grid side is insufficient to match the demand on the load side. The primary load-side issues may be non-linear loads that lower the energy network’s power quality or excessive or unmanaged energy demand. When compared to the production of renewable energy, energy sources that are connected to the grid through an electronic converter or inverter have quite different operating characteristics. The stability of the grid and solutions to the grid-to- transmission-line stability issue are the main topics of this study. The benefits of using inverters in a power system from the grid to the transmission line with MPPT and PI controllers are examined in this article. A robust control system with an inverter-equipped PI controller and MPPT addresses the main problem.

Multi-objective topology optimization design of silicon carbide metal oxide semiconductor field effect transistors power module liquid-cooled heatsink for electric vehicles

Silicon carbide (SiC) metal oxide semiconductor field effect transistors (MOSFETs) is gradually replacing silicon-based insulated gate bipolar transistor (IGBT) as the switching devices in electric vehicle power inverters due to its higher operating temperatures, switching speeds, and frequencyies. However, the high switching frequency of SiC MOSFETs can increase the losses of the power inverter, resulting in an increase in the temperature, which will limit the performance of power inverters. The improvement of power module performance is mainly controlled by optimizing its control methods during operation and improving its cooling system. Currently, the liquid-cooled heatsink used in power modules have disadvantages such as large flow resistance and poor heat dissipation performance. In order to enhance the performance of the heatsink, this study first established a three-dimensional finite element model of SiC MOSFETs power module based on a pin fin heatsink. The accuracy of the model was verified by numerical and experimental methods. Secondly, based on numerical analysis, a multi-objective topology optimization method for the power module liquid-cooled heatsink is proposed. This method takes heat exchange and fluid dissipation energy as the objective function and uses weight factors to adjust the influence of each on the objective functions. Additionally, the temperature distribution of the heatsink is considered to optimize its performance. Finally, the numerical results show that the topology-optimized heatsink exhibits better performance at high coolant volumetric flow rates. When the coolant volumetric flow rate is 14 L/min, the pressure drops of topology-optimized heatsink is reduced by 63.94 % and the junction temperature of the power module is reduced by 0.24 % compared with the pin fin heatsink. This topologically optimized heatsink could be helpful to improve the performance of existing power module heatsinks.

Research on Inverter Control Strategy Based on FPGA

Abstract This study adopts a composite repetitive controller strategy in a three-phase four-wire circuit, combining proportional resonance and repetitive control, which effectively suppresses harmonics and improves system performance. At higher switching frequencies, FPGA is used to achieve efficient control to ensure system stability and performance. This research provides new ideas for improving the performance of on-board inverters, especially in terms of high-speed control, nonlinear load and harmonic processing. SiC devices and composite control strategies provide more sustainable solutions for future rail transit systems.

LADRC-based grid-connected control strategy for single-phase LCL-type inverters.

To ensure that grid-connected currents are of high quality, it is crucial to optimize the dynamic performance of grid-connected inverters and their control. This study suggests using a combination of reduced-order linear active disturbance rejection control (LADRC) and a Proportional-Integral (PI) controller. By applying this control strategy to a single-phase photovoltaic grid-connected system, the system's ability to suppress grid harmonics is significantly improved. The validity and effectiveness of this control approach have been confirmed through simulations and experiments. The results show that the LADRC-based control system is robust and capable of rejecting disturbances, resulting in a significant reduction in the Total Harmonic Distortion (THD) of grid-connected currents. Comparative analysis with traditional control methods demonstrates the superior performance of the proposed approach.

Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations

The rapid growth of on-road electric vehicles (EVs) empowered the increasing demand for charging stations, hindering widespread EV adoption due to factors like limited range and insufficient charging infrastructure. To address these concerns, the implementation of DC fast charging stations (FCSs) has emerged as a solution to reduce charging time and promote industry adoption. However, the integration of such FCSs poses challenges in terms of power management, power quality and charging service stability, especially in weak grid infrastructures. This paper proposes a power management strategy for a DC-FCS located near highways, aiming to provide stable, fast, and reliable charging services to EVs while minimizing grid dependency. The proposed strategy incorporates various energy sources and operation modes to ensure charging service stability. Additionally, an optimized tuning control based on an improved Snake optimization (ISO) algorithm is introduced to enhance the performance of the grid-connected voltage source inverters (VSIs) in the DC-FCS. The optimized tuning method using the proposed algorithm shows superior performance compared to other methods. Simulation and experimental tests validate the effectiveness of the proposed system, showcasing its potential for efficient management, stable charging service, and improved power quality in the DC-FCS.

Reliability Improvement of Grid Connected PV Inverter Considering Monofacial and Bifacial Panels Using Hybrid IGBT

The development of bifacial photovoltaics has led to significant advancements in solar energy. Unlike traditional solar panels, which only generate electricity from the front side, these panels capture the energy from the rear and front surfaces. Bifacial photovoltaics utilize a dual-sided absorption to capture the sunlight that falls on nearby structures and the ground. This technology helps boost their efficiency and makes them an economical and sustainable choice. Furthermore, the increased energy production from the rear side of bifacial panels may lead to higher voltage fluctuations, which affects the thermal stability of PV inverter. Nevertheless, PV inverter is regarded as critical component which affects the reliability performance. Hence in this paper reliability improvement methodology with hybrid IGBT is proposed for the PV inverter. The hybrid IGBT consists of Silicon (Si) IGBT and Silicon Carbide (SiC) Schottky diode. A test case of 3-kW Monofacial and Bifacial grid connected PV inverter system with various albedos is considered. Mission profile for one year at Hyderabad, India location is logged for the assessment. B10 lifetime is calculated for the proposed hybrid IGBT. The effectiveness of the proposed hybrid IGBT is evaluated in comparison with conventional IGBT. The proposed hybrid IGBT significantly improves the reliability performance of the PV inverter.

Single Source Switched Capacitor Based Multilevel Inverter With Reduced Number of Components

Multilevel inverters find extensive use across various applications owing to their capability to generate voltage waveforms of superior quality. thereby minimizing harmonic distortion. Traditional multilevel inverters require a substantial number of power semiconductor devices and passive components, resulting in heightened costs, intricacy, and physical dimensions. These multilevel inverters play a pivotal role in the electric vehicle sector, serving as a critical component in EV power trains for converting Convert DC power from batteries into AC power to operate electric motors.. The research methodology involves the following steps: Design and configuration of a multilevel inverter utilizing switched capacitor technology from a single source.. Design proposed topologies for multilevel inverter design. Design a circuit according topologies in MATLAB. Comparative analysis with existing multilevel inverter designs. Evaluation of the inverter's performance in terms of harmonic distortion, output voltage quality, and efficiency. Rather than employing a multilevel inverter with fewer switches that operates from a single source the highest possible levels are preferred. This paper introduces an innovative 9-level multilevel inverter based on a single source and switched capacitors, which significantly reduces the number of switches required, utilizing only three capacitors and a single DC source. This design approach serves to streamline the inverter's intricacy, decrease costs, and minimize its physical footprint. Furthermore, it elevates the voltage levels by up to 96%, enhancing the overall performance and efficiency of the inverter. Additionally, this technology can be applied in electric vehicles, integrated with renewable energy sources, and utilized in industrial settings. The novelty of this research lies in the utilization of a single-source switched capacitor configuration to achieve multilevel inverter functionality. This approach reduces the number of components required, leading to potential cost savings and improved system reliability. The novel features of this study include: Integration of switched capacitors in a single-source multilevel inverter design. Achieving multilevel inverter functionality with fewer components. Improved performance and efficiency compared to traditional multilevel inverter designs.

Harmonizing power systems with a 13-level modified Packed U-Cells multi-level inverter: Design and implementation

Traditional multilevel inverter designs often face complexity challenges, prompting the need for a simplified solution. This study introduces and evaluates the performance of a Modified Packed U-Cells (MPUC) inverter in the realm of multilevel inverter technology. The study addresses challenges associated with conventional multilevel inverters and proposes the MPUC inverter as a solution to simplify the design complexity. The MPUC inverter, utilizing three DC sources and eight switches, presents a groundbreaking thirteen-level output waveform. The primary focus lies in assessing the inverter's performance in terms of Total Harmonic Distortion (THD) and output voltage. Utilizing MATLAB/Simulink, the inverter's performance is evaluated with and without Pulse Width Modulation (PWM) strategies. The results reveal a notable reduction in THD, from 26.25% to 9.91% post-filtering when PWM is not employed. Various multi-carrier Level-Shifted PWM strategies, including PDPWM, PODPWM, APODPWM, and COPWM, are explored to enhance output waveform smoothness and efficiency. Unequal Carrier strategies, specifically UEAPDPWM and UEAPODPWM, emerge as superior in THD management at different frequency ranges. The study further incorporates real-time hardware implementation of the proposed 13-level MPUC topology, highlighting the success of the UEAPD-PWM strategy in improving waveform quality. The research aims to establish a multilevel inverter design protocol meeting international standards and emphasizes the pivotal role of PWM techniques in enhancing waveform quality. This comprehensive evaluation contributes to advancing the field of multilevel inverter technology and sets a benchmark for future research in this domain.

Real-time of a two-level three-phase inverter controlled by PWM and full wave techniques

Sustainability in power generation is readily available and must be able to adapt to a variety of energy needs or integrate seamlessly into alternative distribution networks. This research aims to bridge the gap between continuous energy production and efficient energy utilization by advancing the understanding and application of three-phase dual-level voltage inverters. This study focuses on two main objectives: firstly, to develop a comprehensive model and secondly, to validate the functionality of a three-phase two-level voltage inverter. The control strategy employed for this inverter involves the full-wave method and pulse-width modulation (PWM). The results obtained from the hardware implementation of these control methods show impressive levels of success, closely matching the expected performance of the three-phase inverter. This success underlines the robustness and effectiveness of both full-wave and PWM control strategies. To further underline their practical applicability, experimental validation of PWM and Full Wave control methods is demonstrated in a controlled research laboratory environment.