高压输电线路在线监测设备无线供电磁耦合机构优化

对高压输电线路进行实时精准的在线监测是保障电网稳定运行的有效手段。磁耦合共振无线供电为解决在线监测设备供电困难的问题提供了一种可行方案,但传统磁耦合共振系统耦合程度弱,传输效率对传输距离变化敏感,总体性能欠佳。基于电路模型分析了耦合线圈互感对传输效率的影响,提出了考虑线圈与磁芯耦合影响关系的联合优化方案从而提升传输性能。仿真和实验结果验证了在同轴间距、水平和角度偏移变化时的系统效率提升。为提升磁耦合系统传输效率和距离提供了一种有效方案。     

电缆化配电系统高频谐振频移方法

为解决电缆化配电网高频谐振问题,提出了一种基于配电网阻抗重构的高频谐振频移方法。首先,分析了电缆化配电网高次谐波源与高频谐振的产生机理。其次,给出了电缆化配电网阻抗重构的高频谐振频移方法,并比较不同无源阻抗重构后的频移及谐振峰抑制效果。然后,结合实际工程案例,利用系统函数绘出伯德图与根轨迹评价该方法对高频谐振治理效果以及系统稳定性的影响,验证了基于电缆化配电网阻抗重构的高频谐振频移方法的有效性,最后研究了无源阻抗参数变化对配电网高频谐振的影响。     

基于E-FCNN的电力巡检图像增强

为了解决无人机巡线、无人值守变电站机器人巡检中,由于距离过远或机器抖动造成的采集图像待检目标分辨率低、图像模糊等问题,提出一种边缘感知反馈卷积神经网络E-FCNN。该网络在传统超分辨率网络基础上增加了残差模块和反馈机制,实现细节特征的提取和强化,并通过边缘感知分支补充纹理信息,提升了图像的细节描述。通过测试集实验结果表明：提出的边缘感知反馈卷积神经网络无论在主观视觉质量,或是峰值信噪比等客观评价指标上,都明显优于其他相关算法。且在基于无人机巡检的绝缘子检测应用中能够有效提高绝缘子检测率。     

西北地区风电功率波动特性概率密度及波动统计

为了准确描述西北地区风电功率波动特性的概率密度分布及波动变化,在对西北地区风电功率数据分钟级分量进行分布拟合统计后,得出特殊t（t location-scale）分布可以描述西北地区风电功率波动特性的概率分布。将西北地区风电功率数据划分为幅值差波动和斜率波动,因CLARANS算法常用在大数据聚类划分上,故利用CLARANS算法对幅值差波动和斜率波动进行聚类划分。聚类划分后经统计表明：西北地区风电功率数据的幅值差波动具有明显的季节性特征,在6—8月最为明显;斜率波动有较为明显的空间特征,随着空间尺度的增大,缓慢波动的风力发电量占比均值由0.356降至0.267,快速波动的电量占比均值由0.183升至0.35。     

Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Toona sinensis Leaves Using Terahertz Imaging Combined with Deep Learning

Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L⁻¹) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety.     

基于LSTM的电力暂态稳定在线评估及预测研究

电网规模的扩大使得电力系统运行状态变得更加复杂,对电网安全稳定运行提出了更高要求。提出了基于深度学习中长短时记忆（long-and-short term memory,LSTM）的电力暂态稳定在线评估模型。该模型通过获取全网各节点电压、电流、功率等电气量,实时计算得到电网失稳可能性评分,并在新英格兰10机39线系统上对该模型进行测试与优化。实验结果表明,该模型能通过实时运算得到电网稳定性的评估及预警,具有准确性高、预警能力强、支持在线监测的特点。     

TP63 Is Significantly Upregulated in Diabetic Kidney

The role of tumor protein 63 (TP63) in regulating insulin receptor substrate 1 (IRS-1) and other downstream signal proteins in diabetes has not been characterized. RNAs extracted from kidneys of diabetic mice (db/db) were sequenced to identify genes that are involved in kidney complications. RNA sequence analysis showed more than 4- to 6-fold increases in TP63 expression in the diabetic mice’s kidneys, compared to wild-type mice at age 10 and 12 months old. In addition, the kidneys from diabetic mice showed significant increases in TP63 mRNA and protein expression compared to WT mice. Mouse proximal tubular cells exposed to high glucose (HG) for 48 h showed significant decreases in IRS-1 expression and increases in TP63, compared to cells grown in normal glucose (NG). When TP63 was downregulated by siRNA, significant increases in IRS-1 and activation of AMP-activated protein kinase (AMPK (p-AMPK-Th¹⁷²)) occurred under NG and HG conditions. Moreover, activation of AMPK by pretreating the cells with AICAR resulted in significant downregulation of TP63 and increased IRS-1 expression. Ad-cDNA-mediated over-expression of tuberin resulted in significantly decreased TP63 levels and upregulation of IRS-1 expression. Furthermore, TP63 knockdown resulted in increased glucose uptake, whereas IRS-1 knockdown resulted in a decrease in the glucose uptake. Altogether, animal and cell culture data showed a potential role of TP63 as a new candidate gene involved in regulating IRS-1 that may be used as a new therapeutic target to prevent kidney complications in diabetes.     

基于储能型开关电感准Z源逆变器的模型预测控制

针对传统准Z源逆变器(quasi-Z-Source Inverter,QZSI)升压能力和功率协调控制能力的不足,本文提出将储能电池与开关电感型QZSI相结合构成储能型开关电感QZSI(Energy-Storage Switched-Inductor QZSI,ES-SLQZSI),提高了系统升压倍数和功率协调能力,并针对ES-SLQZSI系统,提出一种基于有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)结构的功率控制策略,在单级变换系统中实现了最大功率点追踪(MPPT)和并网功率控制。建立了ES-SLQZSI的离散时间模型,基于此模型设计预测函数与代价函数。然后,设计光伏功率MPPT模块和输出功率管理模块。相比于传统多级结构的储能光伏系统,该系统结构简单,无需额外的DC-DC变换器;相比于传统双环PI PWM控制策略,该方法简单易行,所需PI控制器少,无需PWM调制器;动态响应速度优良,适合被控变量较多的非线性系统。仿真结果验证了控制策略的有效性。     

一种模块化多电平换流器电压均衡改进策略

模块化多电平换流器MMC（modular multilevel converter）是柔性直流输电系统的核心设备,其子模块的电容电压均衡问题直接影响系统的正常运行。针对此问题,首先介绍了一种现有的基于固定轮换的均压方法,指出其优缺点;再进一步提出一种改进的均压策略,能够在达到几乎相同的均压效果的基础上,减少模块的轮换;最后,在RTDS实时硬件在环实验平台中搭建MMC系统,验证了所提均压策略的有效性。实验结果表明,所提均压策略能在不影响MMC安全稳定运行的前提下,大幅降低开关频率,提高MMC运行效率。     

3D Printing Conductive Composites with Poly(ionic liquid) as a Noncovalent Intermedia to Fabricate Carbon Circuits

In this study, a kind of imidazole type poly(ionic liquid) ([PEP-MIM]Cl) is synthesized, which can disperse carbon effectively. [PEP-MIM]Cl is used as an intermediate to coat carbon on the poly(acrylic acid)(PAA-co-MBA) via ion exchange to obtain conductive polymer composite (CPC). A series of characterizations are performed. Experiments show that carbon can be coated on the PAA-co-MBA uniformly, and compared with using carbon as filler, this method requires less carbon to achieve good conductive performance. The carbon layer on the polymer's surface is enriched via the swelling-shrinking properties of PAA-co-MBA according to the SEM images. Furthermore, in combination with 3D printing technology, PAA-co-MBA can be designed into different shapes to achieve various functions such as pressure-sensing element. Finally, a new type of CPC named carbon clad polymeric laminate (CCPL) is prepared by using the carbon coating method and 3D printing technology. It has the potential to replace copper clad laminate (CCL) and printed circuit board (PCB), to a certain extent. This technology expands the preparation method and application of the CPC such as flexible and wearable conductive fabrics.