针对微网中电能转换效率低等问题,文章提出了 一种输出电压稳定、电能转换效率高的分布式能源系统.该系统由直流/直流(Direct Current/Direct Current,DC/DC)模块和逆变模块组成,采用STM32为主控芯片并结合正弦交流调制技术进行调制,从而优化各模块,实现高效率转化.测试结果表明,该系统输出电压稳定,转化效率高等特点,能较好地提高充电效率.

In an airborne passive radar, multipath (MP) clutter, which is caused by MP signals contained in the contaminated reference signal, degrades the space-time adaptive processing (STAP) performance. The MP clutter suppression algorithm before STAP can mitigate the influence of impure reference signals. However, the performances of the existing MP clutter suppression methods deteriorate when the intrinsic clutter motion (ICM) exists because the sparse model of MP clutter is disturbed. To eliminate the impacts of ICM on MP clutter suppression, a joint optimization algorithm is developed for airborne passive radar. Firstly, the sparse model of MP clutter is modified by taking ICM fluctuation into account. Subsequently, the joint optimization function of the ICM fluctuation and MP clutter profile is derived. Finally, based on the local search technique, MP clutter is suppressed with ICM error calibration and off-grid effects mitigation. A range of simulations verify the reliability and superiority of the proposed method.

数字电子技术是高等教育工科院校多个专业的一门专业基础课程,该课程受众面广,实践性强,课程育人的重要性不言而喻.文章从数字电子技术课程的授课内容、能力培养、思政教育三个方面提出了一种"知识传授、能力培养、思政教育"三位一体的课程育人方法,旨在通过知识传授和能力培养过程中加强思政教育,进一步提高课程育人质量.

应用型创新人才是社会各行各业产业化更新与升级的生力军。文章基于多年学科竞赛和创新项目的指导经历与经验，结合现代教育新思想和新工科人才培养与建设理念，提出了一种学科竞赛+创新项目驱动下的应用型创新人才培养模式。该培养模型以电子信息类专业为例，以培养具备实践应用能力、创新研究思维和人文综合素养层次化的应用型创新人才为目标，并依托学科竞赛和创新项目设置相应的实践教学内容、培养体系、管理制度以及评估机制，最终形成学科竞赛+创新项目驱动下的层次化培养模式。多年来，本校电子信息类专业的实践运行经历及其丰硕成果证实了该培养模式的有效性。

在机载外辐射源雷达不纯净参考信号条件下,参考通道中的多径与回波匹配得到的干扰将降低空时自适应处理的目标检测能力,而网格失配问题严重影响了干扰的估计性能.本文针对网格失配下的机载外辐射源干扰抑制问题,提出一种基于局部搜索的干扰估计算法.该算法在干扰稀疏观测模型的基础上构建全局距离-多普勒字典,从中选择与干扰相匹配的全局网格点;然后以该全局网格点为中心,对多普勒平面精细划分来构建局部多普勒字典,并选择与干扰更匹配的局部网格点;最后估计干扰的距离-多普勒像以实现干扰抑制,克服不纯净参考信号的影响.仿真结果表明,所提算法可降低网格失配导致的抑制性能损失,有效提高不纯净参考信号下空时处理的目标检测能力.

To ensure safe and reliable operation, the ability to ride through various disturbances is vital for a microgrid with multi-inverters. As the voltage and frequency support comes from the power-electronic-based inverters, it is necessary to find a proper control strategy to improve the rejection ability of the DG inverter against disturbances. In this regard, this paper proposes a new distributed secondary frequency control approach for islanded microgrids, in which the main purpose is to remove the frequency deviation under droop control method with better disturbance rejection performance. Unlike many traditional approaches which rely on a detailed control model, the proposed one needs little model information thanks to the model-independent characteristic of active disturbance rejection control (ADRC) technique. A linear extended state observer is introduced to estimate the useless model dynamics (including unknown disturbances, unmodeled dynamics and nonlinear dynamics) which are then compensated in the control input. After the active compensation procedure, the nonlinear frequency control model can be converted into a quasi-linear model, based on which a proportional distributed control algorithm is established to restore the frequency and equalize the active power among the DGs. Simulation results based on a four-inverter-based microgrid show that the proposed approach achieves frequency restoration, active power sharing, as well as satisfactory disturbance rejection performance.

Investigating underlying coupling mechanism between surface plasmons (SPs) and excitons is playing a very important role to achieve higher efficient and more stable excitonic optoelectronic devices. Here, cadmium sulfide (CdS) microbelts sputtered with Au nanoparticles (NPs) have been prepared for exploring the SP-mediated energy coupling effect. The enhancement of excitonic emission intensity and a red-shift of the peaks have been surveyed in the Fabry-Perot (F-P) resonant lasing spectra. The investigation on temperature-dependent photoluminescence (TDPL) spectra from these samples demonstrate that the optical phenomenon can be attributed to the exciton–phonon coupling. The research results will provide a paramount importance of theoretical support for building effective and bright photoelectric devices based on the complex SP materials system.

针对应用型创新人才培养现状,结合校企合作优势和时代特征,对电子信息类校企协同应用型创新人才培养模式进行探究.首先在优化教学资源上,从优化课程体系、强化师资队伍和共建实验平台三方面展开思考;其次在优化人才培养模式上,从实践教学、学科竞赛和校企项目三方面进行探索;最后提出综合校内评价和校外检验完善人才培养质量评价标准,以此持续改进校企协同应用型创新人才培养模式;为构建校企协同应用型创新人才培养体系提供新路径.

围绕立德树人基本目标,结合"传感器原理"的课程特点,挖掘课程内容中的思政元素.在理论教学中,通过阐述传感器技术发展现状和技术瓶颈、讲述科学家的探索历程、结合专业知识和时事热点,提高学生的爱国热情、科学思维和民族自豪感;在实践教学中,通过联系实际和自主设计实验,提升学生的思辨能力和创新思维;最后探索思政教学效果评价方法;为"传感器原理"课程思政提供新思路和新路径.

Single-molecule localization microscopy (SMLM) achieves super-resolution based on a series of images of sparsely distributed molecules, which makes it time-consuming. To improve the temporal resolution, several high-density localization algorithms have been developed, and the computational speed is considered one of the important factors for evaluating their performance. In this study, for the first time, a three-dimensional (3D) multiple measurement vector compressed sensing (3D-MMV-CS) model was constructed and then solved using a multiple sparse Bayesian learning algorithm to realize 3D single-molecule localization and obtain 3D super-resolved fluorescence images. The 3D-MMV-CS successfully recovered a 3D super-resolved image from a series of simulated high-density fluorescence images. The computation time for reconstruction only increases marginally with an increase in the number of raw images and approximately stays constant with an increase in the density of fluorescent molecules. Simulation results demonstrated that, when the number of raw images reaches 1900, compared with the other two algorithms L1-Homotopy and compressed sensing STORM (CSSTORM) with CVX, the 3D-MMV-CS method is 100 times faster than the former and five orders of magnitude faster than the latter. This outstanding performance in computation speed would allow the 3D-MMV-CS approach to be routinely applicable to SMLM. Validation test of the 3D-MMV-CS method was performed successfully with experimental data from an astigmatism-based 3D SMLM system.

Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.

For an airborne passive radar with contaminated reference signals, the clutter caused by multipath (MP) signals involved in the reference channel (MP clutter) corrupts the covariance estimation in space-time adaptive processing (STAP). In order to overcome the severe STAP performance degradation caused by impure reference signals and off-grid effects, a novel MP clutter suppression method based on local search is proposed for airborne passive radar. In the proposed method, the global dictionary is constructed based on the sparse measurement model of MP clutter, and the global atoms that are most relevant to the residual are selected. Then, the local dictionary is designed iteratively, and local searches are performed to match real MP clutter points. Finally, the off-grid effects are mitigated, and the MP clutter is suppressed from all matched atoms. A range of simulations is conducted in order to demonstrate the effectiveness of the proposed method.

For an airborne passive radar with impure reference signals, the clutter caused by multipath (MP) signals involved in the reference channel (MP clutter) corrupts the space-time adaptive processing performances. To eliminate the influence of the MP clutter, two clutter suppression methods based on reduced-dimension (RD) transformation are proposed herein. RD transformation is exploited to reduce the size of the sparse recovery dictionary. Subsequently, the sparse recovery problem is revised, and the MP clutter is suppressed using the least mean square (LMS) algorithm and the exponentially forgetting window LMS algorithm. Compared with the existing L-1-based recursive least square algorithm, the proposed algorithms significantly reduce computational complexity without degrading the MP clutter suppression performance. In addition, the proposed algorithms provide more robust characteristics to the errors in prior knowledge than the modified blind equalization method. A range of simulations is conducted to test the proposed algorithms. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)

The modern distribution automation suggests to enable decentralized self-healing of distribution networks using advance metering and controlling infrastructure. Decentralized fault location and isolation, as an essential and vital component of self-healing, has attracted considerable attention over the years. In this paper, an integrated fault location and isolation strategy based on fully decentralized multi-agents system (FDMAS) is presented for distribution system with distributed generators (DGs) by combining the primary protection with device failure protection (i.e., backup protection). The proposed FDMAS strategy can locate and isolate electrical fault rapidly even under device failures with minimum fault clearance time and range by using expert logical rules, meanwhile can detect and identify device failure adaptively. Furthermore, a unified programming framework is developed for generalization and application of the proposed strategy. The simulation studies are carried out on 22-bus distribution system by using dynamic model test platform. The test results show that the proposed strategy has an excellent performance on fault clearance time, fault isolation range and device failure detection.

本文针对学科竞赛与创新项目指导团队存在的问题,结合基于作者团队多年学科竞赛和创新项目指导实践经历和经验,从职称评定、奖励绩效、年龄与学历结构等方面对存在的问题展开深入探讨与解析;并在此基础上,从激励机制建立、组织机构完善、指导团队人才梯队建设、团队成员分工与协作以及团队氛围与人文关怀等五个方面,提出了学科竞赛与创新项目指导团队长效机制建设策略.该策略在本校电子与信息类专业多年的实践成效表明其有效性.

在超分辨荧光显微成像技术中,单分子定位显微方法是被广泛应用的技术之一.根据荧光显微成像原理构造多测量矢量压缩感知模型(Multiple Measurement Vector-Compressed Sensing,MMV-CS),并采用多重稀疏贝叶斯学习算法进行求解,来实现超分辨荧光图像重建.分析了有效像元大小、荧光分子生成的光子数和背景信号泊松化噪声对重建结果的影响,以及在图像进行分块处理时算法运行时间的分析.模拟和实验计算分析表明,当点扩展函数的标准差在160 nm时,有效像元大小在120、160、200 nm能取得较好的重构效果,而在60 nm时效果较差.探测器收集的光子数越多,重构效果越好,随着背景信号光子数增加时,离得越近的样品结构越不能分辨.在同样的分块处理情况下,MMV-CS比同伦算法(L1-Homotopy,L1-H)和凸优化算法(CVX)分别快一个数量级和三个数量级,因此,在研究三维超分辨荧光显微成像时,MMV-CS算法在运行时间上具有更大的优势.

应用型创新人才是产业化更新与升级的生力军.本文基于多年应用型创新人才培养经历和经验,结合工程教育的"成果导向"理念和"能力导向"理念,以培养学生的应用型创新能力和人文综合素养为目标,组建合理科学的基础课程、专业课程、创新课程及精品课程等课程体系;搭建和深度开放实践教学与创新平台;并从"基础实验、专业实验、能力训练、科创研究、人文素养"五个层次,构建完整的金字塔实践教学体系,最终形成融合理论、实践、创新和人文素养的应用型创新人才培养的课程与教学体系.

应用型创新人才是多元变革时代下社会各行各业的产业化更新与升级的生力军,关键衔接着其他各类人才.应用型创新人才的角色定位和内涵特征的探讨与研究涉及各高校的人才培养模式,是一个急需解决的基础问题.本文在对应用型创新人才的角色定位进行分析的基础上,揭示应用型创新人才与研究型人才及技能型人才间关联关系;并从知识技术、综合能力和人文素养等方面,深入解析了应用型创新人才迎合产业变革、时代变迁和国际化潮流等所需的内涵特征,其能为各应用型本科高校构建培养体系以及开展相关实践与创新教学活动提纲挈领.

This article proposes an unbalanced voltage compensation method for a dispersed wind farm (DWF) by cooperating permanent magnetic synchronous generators (PMSGs) with a star-connected cascaded H-bridges (CHB) static synchronous compensator (STATCOM). The topology of a typical DWF is given and the mathematical models of CHB-STATCOM and PMSG inverter are established to show that the unbalanced grid voltage can be suppressed by controlling their virtual negative-sequence output admittance (NSOA). The relationship between maximum phase voltage and dc voltage corresponding to zero-sequence voltage injection is obtained to quantitatively analyze the negative-sequence current injection ability of the CHB-STATCOM. Moreover, the phase current limit is introduced to address the over-current problem, and a virtual NSOA method for sharing unbalanced voltage is proposed. An allocation coefficient calculation method is also proposed in consideration of both remaining capacity and voltage unbalanced factor (VUF) for different PMSGs. Furthermore, a coordinated control strategy of PMSGs and CHB-STATCOM for unbalanced voltage suppression is proposed. The effectiveness of the proposed coordinated control strategy is verified by simulation on a 50 MW DWF with a ±5 MVar star-connected CHB-STATCOM.

This paper proposes a robust distributed secondary control approach for voltage restoration of an islanded microgrid with inverter-based distributed generators (DGs). In the proposed approach, each DG only requires the knowledge of its own and immediate neighboring information and dispenses with the need of complex communication network. Unlike most of the existing methods relied on detailed and accurate mathematic models, the proposed approach adopts an active disturbance rejection control (ADRC) technique that only requires minimal model information and can sufficiently eliminate the model uncertainties as well as unknown disturbances. By means of dynamically linearizing compensation, the proposed robust distributed secondary voltage controller can be built on a quasi-linear model with proportional feedback control design. Another novel idea in this paper is that it can estimate the state of voltage derivative through an extended state observer (ESO), which obviates the requirement of a differentiator which is hard to be physically realized. The control law design and parameter selection of the proposed ADRC-based distributed secondary voltage controller are discussed considering the closed-loop stability constraint for the composite system. The robust performance of the proposed control approach is verified based on a 4 DGs-based islanded microgrid test system. Results show that the proposed control approach is entitled with high robustness against both constant disturbance and time-varying disturbance.