Phase field model for electric-thermal coupled discharge breakdown of polyimide nanocomposites under high frequency electrical stress

In contrast to conventional transformers, power electronic transformers, as an integral component of new energy power system, are often subjected to high-frequency and transient electrical stresses, leading to heightened concerns regarding insulation failures. Meanwhile, the underlying mechanism behind discharge breakdown failure and nanofiller enhancement under high-frequency electrical stress remains unclear. An electric-thermal coupled discharge breakdown phase field model was constructed to study the evolution of the breakdown path in polyimide nanocomposite insulation subjected to high-frequency stress. The investigation focused on analyzing the effect of various factors, including frequency, temperature, and nanofiller shape, on the breakdown path of Polyimide(PI) composites. Additionally, it elucidated the enhancement mechanism of nano-modified composite insulation at the mesoscopic scale. The results indicated that with increasing frequency and temperature, the discharge breakdown path demonstrates accelerated development, accompanied by a gradual dominance of Joule heat energy. This enhancement is attributed to the dispersed electric field distribution and the hindering effect of the nanosheets. The research findings offer a theoretical foundation and methodological framework to inform the optimal design and performance management of new insulating materials utilized in high-frequency power equipment.

基于边缘引导和动态可变形Transformer的遥感图像变化检测

卷积神经网络(Convolutional Neural Network,CNN)和Transformer的混合架构能够有效建模图像的局部与全局特征,已成为遥感图像变化检测任务的主流网络.然而这类网络仍面临着一些挑战. CNN分支中的卷积和池化运算通常会抑制遥感图像中的高频信息,降低目标边界的精度;此外,Transformer分支对图像像素进行等同长程依赖关系建模,忽略了变化目标的形状及语义关联信息,导致网络对变化目标特征的表达不足.为解决上述问题,提出了基于边缘引导和动态可变形Transformer的遥感图像变化检测网络.在CNN分支中设计了边缘信息引导模块,利用高频信息增强目标区域的边缘信息,从而改善变化目标的轮廓精度.同时设计了一种新颖的动态可变形Transformer,能够自适应地匹配形状不同的变化目标,选择与变化相关的特征建模长程依赖关系,以提高网络的特征表达能力.实验结果表明,提出的方法在三个公开数据集LEVIR-CD、CDD和DSIFN-CD上显著提高了检测精度,在变化目标的边界精度和内部完整性方面都明显优于当前的主流网络.

A high frequency vibration compensation approach for ultrahigh resolution SAR imaging based on sinusoidal frequency modulation Fourier-Bessel transform

Ultrahigh resolution synthetic aperture radar(SAR)imaging for ship targets is significant in SAR imaging,but it suffers from high frequency vibration of the platform,which will induce defocus into SAR imaging results.In this paper,a novel compensation method based on the sinusoidal frequency modulation Fourier-Bessel transform(SFMFBT)is proposed,it can estimate the vibration errors,and the phase shift ambiguity can be avoided via extracting the time frequency ridge consequently.By constructing the corresponding compensation function and combined with the inverse SAR(ISAR)technique,well-focused imaging results can be obtained.The simulation imaging results of ship targets demonstrate the validity of the proposed approach.

Analysis of Thermal Behavior of High Frequency Transformers Using Finite Element Method

High frequency transformer is used in many applications among the Switch Mode Power Supply (SMPS), high voltage pulse power and etc can be mentioned. Regarding that the core of these transformers is often the ferrite core;their functions partly depend on this core characteristic. One of the characteristics of the ferrite core is thermal behavior that should be paid attention to because it affects the transformer function and causes heat generation. In this paper, a typical high frequency transformer with ferrite core is designed and simulated in ANSYS software. Temperature rise due to winding current (Joule-heat) is considered as heat generation source for thermal behavior analysis of the transformer. In this simulation, the temperature rise and heat distribution are studied and the effects of parameters such as flux density, winding loss value, using a fan to cool the winding and core and thermal conductivity are investigated.

Development of a Medium Voltage, High Power, High Frequency Four-Port Solid State Transformer

The power and voltage levels of renewable energy resources is growing with the evolution of the power electronics and switching module technologies.For that,the need for the development of a compact and highly efficient solid-state transformer is becoming a critical task in-order to integrate the current AC grid with the new renewable energy systems.The objective of this paper is to present the design,implementation,and testing of a compact multi-port solid-state transformer for microgrid integration applications.The proposed system has a four-port transformer and four converters connected to the ports.The transformer has four windings integrated on a single common core.Thus,it can integrate different renewable energy resources and energy storage systems.Each port has a rated power of 25 kW,and the switching frequency is pushed to 50 k Hz.The ports are chosen to represent a realistic industrial microgrid model consisting of grid,energy storage system,photovoltaic system,and load.The grid port is designed to operate at 4.16 k VAC corresponding to 7.2 kV DC bus voltage,while the other three ports operate at 500 VDC.Moreover,the grid,energy storage and photovoltaic ports are active ports with dual active bridge topologies,while the load port is a passive port with full bridge rectifier one.The proposed design is first validated with simulation results,and then the proposed transformer is implemented and tested.Experimental results show that the designed system is suitable for 4.16 k VAC medium voltage grid integration.

SAR imagery coding based on blocking high frequency energy matching

A new fractal image compression algorithm based on high frequency energy (HFE) partitioning andmatched domain block searching is presented to code synthetic aperture radar (SAR) imagery. In the hybridcoding algorithm, the original SAR image is decomposed to low frequency components and high frequencycomponents by wavelet transform (WT). Then the coder uses HFE of block to partition and searchthe matched domain block for each range block to code the low frequency components. For the high frequencycomponents, a modified embedded zero-tree wavelet coding algorithm is applied. Experiment resultsshow that the proposed coder obtains about 0. 3dB gain when compared to the traditional fractal coderbased on the quadtree partition. Moreover, the subjective visual quality of the reconstructed SAR imageof the proposed coder outperforms that of the traditional fractal coders in the same compression ratio(CR).

A Novel Device for Real-Time Monitoring of High Frequency Phenomena in CENELEC PLC Band

This paper proposes the design and development of a novel, portable and low-cost intelligent electronic device (IED) for real-time monitoring of high frequency phenomena in CENELEC PLC band. A high speed floating-point digital signal processor (DSP) along with 4 MSPS analog-to-digital converter (ADC) is used to develop the intelligent electronic device. An optimized algorithm to process the analog signal in real-time and to extract the meaningful result using signal processing techniques has been implemented on the device. A laboratory environment has setup with all the necessary equipment including the development of the load model to evaluate the performance of the IED. Smart meter and concentrator is also connected to the low voltage (LV) network to monitor the PLC communication using the IED. The device has been tested in the laboratory and it has produced very promising results for time domain as well as frequency domain analysis. Those results imply that the IED is fully capable of monitoring high frequency disturbances in CENELEC PLC band.

基于谐波分解恢复弱势信号的高分辨率处理技术

地震资料高分辨率处理是预测薄储集层的有效手段,高分辨率处理的主要目的是有效恢复地震高、低频信息和拓宽频带,同时保持资料的信噪比和保真度。基于谐波分解恢复弱势信号的高分辨率处理技术,以压缩小波变换为基础,根据信号谐波分量对地震高、低频弱势信号进行恢复。首先,基于有效频带内的地震信号,采用压缩小波变换将其分解为各基频信号,然后计算各基频信号的高次谐波与低次谐波,将计算出的高次谐波与低次谐波加入小波变换系数中,最后进行小波逆变换,即可恢复高、低频弱势信号。在实现过程中,仅仅在有效频带内估算基频信号,能较好地保持信号的信噪比。地震信号的小波变换系数与地层反射系数具有一致性,因此该技术具有较高的保真度,可以较好保持相对振幅关系。实际应用表明,在保持资料信噪比的同时,该技术能大幅拓宽地震资料的频带,处理后的地震剖面断点更清楚,分辨能力改善明显,能较好地识别6 000 m以深约40 m的薄储集层。

天山中段2次6级地震前钻孔应变高频异常分析

2014年以来,天山中段分量钻孔应变仪空前增多,这些高采样率的应变观测资料蕴含着丰富的构造信息。如何从高采样率观测资料中提取有效的前兆异常信息,是分析研究人员亟待解决的问题。文章通过对天山中段分量钻孔应变观测数据进行S变换和超限率分析发现,在天山中段2次6级地震前有5套应变资料出现高频信息异常。这些异常均在震前出现,随后达到峰值,临震前或地震后衰减,其中短周期异常信号主要集中在10~720 min频段,且S变换与超限率分析结果具有很好的同步性。结合精河地震震源区及附近的GPS分析结果,发现高频异常信息的分布与该地区地壳运动场具有很好的一致性,进一步验证了高频信息异常的可信度。

一种适用于混合双极直流输电的纵联方向保护方法

直流输电线路通常是以大电感和直流滤波器作为边界,故障行波在边界发生折射和反射时,其行波能量也会因为电感和滤波器的存在而被吸收,导致区内、外高频行波能量产生差异.当故障发生为正方向故障时,其高频前行波能量小于高频反行波能量;当故障发生为反方向故障时,其高频前行波能量大于高频反行波能量.由此特征提出了一种基于前、反行波高频能量差异的纵联方向保护,该保护采用小波包变换提取行波的高频能量,利用前行波与反行波在区内故障和区外故障时的高频能量差异判别故障.仿真结果表明,该保护能快速准确地识别故障,并且不受故障类型、过渡电阻以及故障发生位置距离和噪声的影响,具有一定的实用性.

基于模型预测控制的高频隔离型混合配电变压器

配电台区新型源/荷占比逐年提升,使得高/低电压、谐波放大、三相不平衡等配电终端电能质量问题凸显。提出一种基于模型预测控制的高频隔离型混合配电变压器,具备电能质量综合治理、交/直流混合配电等功能,可以满足配电终端用户高品质供用电以及新型源/荷友好接入需求。介绍了高频隔离型混合配电变压器的拓扑结构并推导了数学模型。结合拓扑结构特点,设计了连续控制集模型预测控制(CCS-MPC)策略和延时模型预测控制策略,CCS-MPC通过计算最优化占空比,实现前端变换器输出具有固定的开关频率和开关序列,减小寻优计算量。利用MATLAB/Simulink仿真软件搭建了一套10 kV/0.4 kV电压等级的高频隔离型混合配电变压器系统,验证了所提拓扑结构电能质量综合治理能力的有效性。

高速置换索引差分混沌移位键控通信系统

为了提高置换索引差分混沌移位键控系统的数据传输速率和能量效率,提出了高速置换索引差分混沌移位键控通信系统。该系统采用置换矩阵索引多元信息,并携带一个调制位。发射端将参考信号复制P次作为信息承载信号,通过希尔伯特变换,每个信息时隙中多传输N个用户的信息,将信号级联到正交频分复用系统进行正交载波调制,大大提高了系统的数据传输速率;同时推导了该系统在高斯白噪声信道和多径瑞利衰落信道下的误码率表达式。理论分析及仿真结果证明,该系统相比其他置换索引类系统具有高速率、低误码率的良好特性,有更好的应用前景。

级联离散小波多频带分解注意力图像去噪方法

针对图像去噪网络中下采样导致高频信息损失和细节保留能力差的问题,设计了一种级联离散小波多频带分解注意力图像去噪网络。其中多尺度级联离散小波变换结构将原始图像分解为多个尺度下的高低频子带来代替传统下采样,能减少高频信息损失。多频带特征增强模块使用不同尺度的卷积核并行处理高低频特征,在子网络每一级下重复使用两次,可增强全局和局部的关键特征信息。多频带分解注意力模块通过注意力评估纹理细节成分的重要性并加权不同频带的细节特征,有助于多频带特征增强模块更好地区分噪声和边缘细节。多频带选择特征融合模块融合多尺度多频带特征增强选择性特征,提高模型对于不同尺度噪声的去除能力。在SIDD和DND数据集上,所提方法的PSNR/SSIM指标分别达到了39.35 dB/0.918、39.72 dB/0.955。实验结果表明,该方法的性能优于主流去噪方法,同时具有更清晰的纹理细节和边缘等视觉效果。

大功率高频变压器绝缘问题研究综述

高频变压器是电力电子变换系统中负责电气隔离和电压变换的关键器件。大功率高频变压器紧凑化的结构使其复合绝缘或浇注绝缘承受严苛的电、热和机械应力,给绝缘设计带来很大挑战。该文首先回顾了高频变压器的应用背景和结构形式,然后分析了高频变压器主绝缘和纵绝缘承受的电压应力,指出变压器局部介电损耗的问题,从优化设计的角度表明了功率密度与绝缘可靠性之间的矛盾,并阐明了高频变压器绝缘承受机械应力。提取了近年来高频变压器样机的绝缘设计中常用的绝缘材料、绝缘形式、绝缘等级,分析了绝缘设计对变压器体积、电场分布及寄生参数等的影响,提出绝缘设计流程的改进方向。高频电压下聚合物绝缘的介电损耗、局部放电和空间电荷特性是目前相关研究的关注重点,而这些因素之间通常互相耦合。分析归纳了高频方波波形参数和温度等条件对局部放电、绝缘寿命、空间电荷和电树枝发展规律的影响,指出研究领域的空白。最后,对高频变压器应力特点、绝缘设计和绝缘问题研究现状进行了总结。

高频纳秒脉冲调制器的分立磁耦合驱动器设计

随着高压纳秒固态脉冲发生器在生物、工业和环境等领域的应用日益广泛和深入,脉冲波形、电压幅值、脉冲持续时间、脉冲重复频率等参数已成为特定脉冲功率应用所需的基本可控变量。为了进一步减小电源的体积、降低成本,提出一款以正极性Marx为主电路、多个脉冲变压器为核心驱动器、具有纳秒级前沿高重复频率的高压纳秒脉冲调制器。提出的驱动器结构紧凑,无需提供多路隔离供电的驱动电源,可以在高重复频率下实现两个金属氧化物半导体场效应晶体管(MOSFETs)的栅极电压快速同步上升和下降,获得百纳秒以内、幅值可控的栅极驱动电压。不仅最大脉宽不受磁芯饱和的限制,而且负偏置电压使开关管可控关断,同时在一定程度上避免了电流流过MOSFET米勒电容而引起的寄生导通,提高了电路工作的可靠性。此外,研究了不同匝数和磁芯材料对驱动波形的影响。搭建了一台14级脉冲调制器样机,测试结果表明,基于该驱动器下的调制器输出电压和脉宽都连续可调,具有改变脉冲轮廓的能力,最大输出电压可达5.5 kV,脉宽调节范围为100 ns~50 ms,最小上升时间约18 ns,重复频率为100 kHz。

基于高频电流信号的电机故障特征提取方法

目前异步电机故障诊断主要依赖于振动、温度和噪声等参数,对于监测的电气信号,主要用于分析电机输出动力情况。电气信号中除了体现电机动力输出特征外,还包含丰富的机械故障、电气故障等信息特征。由于电气信号中的故障特征信号微弱,易被基频分量与噪声湮没而难以突出故障特征,不利于电机状态监测与故障诊断,因此提出了一种基于高频电流信号解调的电机故障特征提取方法,针对采样率不低于25.6 kHz的电机定子高频电流信号,综合运用高通滤波、Hilbert变换、快速傅里叶变换(FFT)3种分析方法,提取高频电流中电机故障的微弱特征信号,应用神经网络算法对电机正常、静态偏心、动态偏心、转子断条、轴承内圈、轴承外圈6种状态进行了诊断。该方法准确提取了电流信号故障特征,并成功识别了6种故障。

一种AC/DC离线式开关电源模块的设计

采用安森美/ON推出的集SenseFET和电流控制PWM为一体的控制芯片FSL106MR为智能穿梭车的CPU及控制电路提供DC5 V,电流为2 A的电源.根据反激式变换电路的工作原理,对EMI滤波电路、桥式整流电路,以FSL106MR为核心控制电路及高频高压器等设计实现在市电交流输入下直流5 V稳定输出.通过测试表明,在不同负载情况下,样机输出电压纹波小、工作稳定安全,符合设计指标要求.

变压器油中工频电弧特性及变压器防爆研究综述

变压器内部短路电弧故障是变压器最严重的故障之一,极有可能引发变压器油箱的变形、变压器油的泄露,进而导致火灾,造成恶劣影响。研究变压器防爆技术对于保障电力系统的运行安全和人员生命财产安全具有重要意义。该文总结现有的油中工频电弧试验技术,包括电容电感谐振法、变压器(发电机)短路法和其他等效方法;归纳已获得的油中工频电弧的电压、电流、气泡温度、产气、压力、光谱等特性;总结目前建立的电弧故障下的油箱压力仿真模型,分析各类模型的优缺点;讨论现有的变压器防爆原理及防爆技术。在此基础上,进一步探讨目前迫切需要研究的重点,对进一步深入研究油中工频电弧特性、压力仿真模型、变压器燃爆机理和防爆技术具有重要的参考价值。

S气田天然气压缩机组能效提升技术研究

S气田投产后进入中后期,天然气处理量偏低,天然气压缩机组进排气压力偏离设计工况,导致机组出现能耗高、效率低的现象。以S气田中的5号站、9号站和15号站三个区块为研究对象,分析运行与能效现状,提出四种提效节能方案:压缩机组开关机策略;单双调节改造;高压变频改造;更换小排量压缩机组。通过HYSYS和Pipeline Studio软件模拟得到方案改造后结果。结果表明:改造后单台机组效率平均提升55.44%,均达到节能评价值,单台节能率最高为53.53%,整体节能率达29.77%,有效提升系统能效,减少能耗。