考虑风电消纳的电-热综合能源系统优化运行

针对北方供暖期的弃风问题,在传统电-热联合系统的基础上,建立了横向电-热互补、纵向"源-网-储"的电-热综合能源系统.系统充分考虑了供热网的热动态特性和储电、储热两种形式的储能装置,在满足电、热需求的情况下,建立以最小运行成本为目标的优化运行模型.模型在Matlab中调用YALMIP工具箱和CPLEX求解器进行求解.通过算例仿真,分析了供热网的热动态特性和储能装置对系统运行成本和弃风量的影响.并讨论了不同储能配置下,储能投资成本对系统的影响,验证了模型的合理性.     

大段长高压电缆护层保护器暂态特性分析与参数优化设计

大段长高压电缆在运行时会产生过高的护层感应电压,这对电缆护层保护器的过电压防护特性提出了更高要求,因此需要针对大段长电缆护层保护器暂态特性进行分析研究。基于PSCAD仿真软件,建立了典型220 kV高压电缆线路仿真模型,得出了在短路过电压和雷击过电压情况下,高压电缆长度对护层感应电压暂态特性的影响。通过绝缘配合与能量保护相结合的方式,得到了保护器参数取值范围及电缆线路短路电流与长度的适配曲线,提出了护层保护器参数优化设计的具体方法,并进行了试验测试。测试结果表明:当电缆线路出现短路故障时,随着电缆长度的增加,护层感应电压先线性增长,随后在保护器残压阈值的限制作用下逐渐趋于"饱和"状态,现有保护器能量吸收能力难以满足大段长电缆需求;改进后的护层保护器能量吸收能力显著提升,20 k A短路电流时允许的电缆长度大幅提高,满足大段长高压电缆线路安全运行的要求。     

基于反射系数傅里叶逆变换的电缆局部缺陷诊断方法研究

为了及时发现电缆中存在的潜伏性缺陷,研究一种基于反射系数傅里叶逆变换的电缆局部缺陷诊断方法。首先根据传输线理论建立电缆计算模型,然后采用快速傅里叶逆变换（IFFT）将电缆首端反射系数谱转换到空间域,最后利用缺陷定位诊断函数DF（x）实现电缆局部缺陷的定位和诊断。针对存在典型局部缺陷的10 kV交联聚乙烯（XLPE）电缆仿真分析,当选取适当的测试频率和测试点数,缺陷定位误差最低可达0.01%。定位曲线中缺陷对应的DF（x）幅值受分布参数的影响,与电容变化的程度线性相关;缺陷长度在一定范围内,DF（x）幅值与缺陷长度成正比;随着缺陷到电缆首端距离的增加,DF（x）幅值成指数衰减;此外,电缆上多处缺陷的诊断结果相互独立。结果表明,该方法具有良好的灵敏度和精确性。     

接地铜排对变电站二次电缆防护效果研究

当变电站开关操作遭遇雷击时,接地网会产生地电位差而对二次电缆造成影响,敷设接地铜排能有效阻止电流对二次电缆的损害。基于ATP-EMTP软件建立了一个简化的变电站主接地网仿真模型,对接地铜排与主接地网的连接方式等情况进行研究,分析了接地铜排对二次电缆的防护效果。研究结果表明：增设接地铜排在一定条件下可以降低二次电缆的干扰电压,但接地铜排与主接地网有多个连接点时,在不同位置注入电流,会对电缆芯线与屏蔽层间的电压以及电缆接地点的地电位升产生不同的影响;从电缆2个接地点水平方向的内侧或外侧分别注入电流,接地铜排的影响效果相反,随着接地铜排与主接地网连接点个数的增加,电缆芯线与屏蔽层间的电压和电缆接地点地电位升分别呈增大或减小的趋势。     

动态场景图像去模糊技术研究进展

模糊是图像退化的主要降质因素之一,图像去模糊技术一直是计算机视觉和图像处理领域的一个重要课题,广泛应用于安防、刑侦、交通、金融、医疗图像等领域.首先,对传统去模糊算法进行阐述并说明其存在的问题.然后,在此基础上对现有基于深度学习的图像去模糊方法进行综述并分析了算法存在的优势与不足,着重讨论了基于动态网络的非均匀模糊处理新趋势.最后,结合最新的研究成果,展望了图像去模糊技术未来的发展方向.     

Reciprocal bi-directional generative adversarial network for cross-modal pedestrian re-identification

To improve the accuracy of cross-modal pedestrian re-identification,a reciprocal bi-directional generative adversarial network-based method is proposed.First,we build two generative adversarial networks to generate cross-modal heterogeneous images.Second,an associated loss is designed to pull close the distribution of features in latent space during the image translation between visible and infrared images so as to help the networks generate fake heterogeneous images that have high similarity with the real images.Finally,by concatenating the original and generated heterogeneous pedestrian images into the discriminative feature extraction network,images from different modalities can be unified into a common modality,thus suppressing the cross-modal gap.Representation learning and metric learning are utilized to achieve more discriminative pedestrian features.Comparative experiments are conducted on SYSU-MM01 and RegDB datasets to analyze the accuracy with different loss functions.Compared with other state-of-the-art cross-modal pedestrian re-identification methods,the proposed method achieves a higher accuracy and stronger robustness.     

Method for using the blockchain to protect data privacy of IoV

With the rapid development of the Internet of Things,vehicle industry is undergoing a rapid transformation from the early vehicle Ad-Hoc network to the Internet of Vehicles (IoV) in which massive vehicles and on-board smart devices can realize data sharing and interaction.However,this brings about a big challenge for the security of shared data in a huge volume containing a lot of user privacy,especially the issues of access control,trust and key escrow.To address these problems,we propose an efficient blockchain-based distributed data sharing method in IoV.In our scheme,blockchain transactions are utilized for trustworthily data storage and access as well as user revocation.To realize end device verification,we introduce certificateless cryptography for transaction verification of blockchain nodes and the ease of the key escrow problem.Moreover,we propose an efficient partial policy-hidden CP-ABE scheme for data fine-grained access control with efficient user revocation.Security analysis and experiments demonstrate that our scheme is secure,efficient and practical.     

阳离子易染型再生聚酯流变性能研究

以废旧聚酯纺织品为原料,乙二醇为醇解剂,间苯二甲酸双羟乙酯-5-磺酸钠(SIPE)和聚乙二醇(PEG1500)为改性单体,经液相聚合得到了阳离子染料易染型再生聚酯(即r-ECDP);对其熔融流变性能进行了测试研究.由样品的红外谱图可知,改性单体SIPE与PEG-1500均已成功引入到共聚酯中并生成了r-ECDP;r-ECDP熔体呈现较明显的假塑性,随着温度和剪切速率(γ·)的增加,其表观黏度(ηa)降低;随着改性单体PEG-1500添加量的增加,r-ECDP熔体的ηa也逐渐减小;r-ECDP的非牛顿指数(n)随测试温度升高而逐渐增大;其粘流活化能Eη则随剪切速率和PEG-1500添加量的增加而减小;其结构黏度指数(Δη)则随PEG-1500添加量的增加及温度升高,呈减小趋势.     

基于胸围-腹围的湖南地区孕妇装号型制定的研究

针对采集的湖南地区孕妇体型数据,基于胸腹差和臀腹差,运用聚类分析,将孕妇体型分为H型、O型、A型和V型4类.确定孕妇装号型的基本部位,提出孕妇服装号型制定的方法,即上装以人体身高厘米数为号、人体胸围厘米数为型,下装以人体身高厘米数为号、人体腹围厘米数为型,利用线性回归分析给出了号型推档数值,并形成4种体型孕妇装号型系列表.论文成果能为孕妇装号型推荐和孕妇装设计提供理论基础,以此可有效提高孕妇服装的合体性.     

Optimization algorithm for ultra-sparse arrays in regional energy focusing

The setting of ultra-sparse arrays is one of key factors for the performance of regional energy focusing.This paper focuses on one of its typical applications:Precision Electronic Warfare by UAV,and proposes an optimization algorithm for ultra-sparse arrays to maximize the performance of regional energy focusing.First,we establish the joint optimization model of the interference waveform and the positions of elements.Second,particle swarm optimization (PSO) is adopted to iterate the positions of elements.Then,the target value of the subproblem is solved for the fitness criterion,as the current array is known in each step of the iteration.Finally,we get the optimal solution of the interference waveform and the ultra-sparse array by this method.Numerical results indicate that the algorithm can optimize the array effectively,and improve the indicators of regional energy focusing obviously.Whether the localization errors of elements exist or not,the algorithm provides a better performance than existing algorithms which only design the interference waveform.