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Tube Model Predictive Control Based Cyber-attack-resilient Optimal Voltage Control Strategy in Wind Farms

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 530-538页

作者： Zhenming Li minghao wang Yunfeng Yan Donglian Qi Zhao Xu Jianliang Zhang Zezhou wang College of Electrical Electronic Engineering Zhejiang UniversityHangzhou 310058China Department of Electrical Engineering The Hong Kong Polytechnic UniversityKowloonHong KongChina Haiyan power supply company of State Grid Zhejiang Electric Power Co. LtdHangzhouChina

Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power *** order to achieve optimal voltage operation,authentic grid information is widely needed in the sensing and actuating ***,this may induce system vulnerable to malicious *** this end,a tube model predictive control-based cyber-attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious *** proposed method consists of two cascaded model predictive controllers(MPC),which outperform other peer control methods in effective alleviation of adverse effects from cyber-attacks on actuators and sensors of the ***,efficiency of the proposed method is evaluated in sensor and actuator cyber-attack cases based on a modified IEEE 14 buses system and IEEE 118 buses *** Terms-Attack-resilient control,optimal voltage control,tube-based model predictive control,wind farm-connected power system.

关键词： Attack-resilient control optimal voltage control tube-based model predictive control wind farm-connected power system

A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1085-1104页

作者： Shuo Yan Junyu Chen minghao wang Yongheng Yang Jose M.Rodriguez STEM College RMIT UniversityMelbourneAustralia Hong Kong Polytechnic University Hong KongChina State Key Laboratory of Internet of Things for Smart City(UM) Department of Electrical and Computer EngineeringUniversity of MacaoMacaoChina College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Universidad San Sebastin Campus BellavistaSantiago de ChileCLSantiago de Chile 000000Chile IEEE

This paper presents a comprehensive study on the model predictive control(MPC)of doubly fed induction generators(DFIG)in wind energy conversion systems(WECS);in particular the MPC of the rotor side *** general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first ***,mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control(MPCC),model predictive torque control(MPTC),and model predictive power control(MPPC).Starting from analyzing dynamic models,these MPC strategies are investigated in terms of operating principles and technical *** paper further investigates implementation of MPC strategies in unbalanced *** on the quantitative and qualitative analysis of several case studies,performance of various MPC schemes is compared and their special features are *** for designing MPC strategies of DFIGs in WECS are provided.

关键词： Doubly fed induction generator(DFIG) model predictive control(MPC) wind energy

Progress in Mechanical Modeling of Implantable Flexible Neural Probes

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1205-1231页

作者： Xiaoli You Ruiyu Bai Kai Xue Zimo Zhang minghao wang Xuanqi wang Jiahao wang Jinku Guo Qiang Shen Honglong Chang Xu Long Bowen Ji Unmanned System Research Institute Northwestern Polytechnical UniversityXi’an710072China National Key Laboratory of Unmanned Aerial Vehicle Technology Northwestern Polytechnical UniversityXi’an710072China Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an710072China School of Automobile Chang’an UniversityXi’an710018China MOE Engineering Research Center of Smart Microsensors and Microsystems College of Electronics and InformationHangzhou Dianzi UniversityHangzhou310018China School of Mechanics Civil Engineering and ArchitectureNorthwestern Polytechnical UniversityXi’an710129China

Implanted neural probes can detect weak discharges of neurons in the brain by piercing soft brain tissue,thus as important tools for brain science research,as well as diagnosis and treatment of brain ***,the rigid neural probes,such as Utah arrays,Michigan probes,and metal microfilament electrodes,are mechanically unmatched with brain tissue and are prone to rejection and glial scarring after implantation,which leads to a significant degradation in the signal quality with the implantation *** recent years,flexible neural electrodes are rapidly developed with less damage to biological tissues,excellent biocompatibility,and mechanical compliance to alleviate *** them,the mechanical modeling is important for the optimization of the structure and the implantation *** this review,the theoretical calculation of the flexible neural probes is firstly summarized with the processes of buckling,insertion,and relative interaction with soft brain tissue for flexible probes from outside to ***,the corresponding mechanical simulation methods are organized considering multiple impact factors to realize minimally invasive ***,the technical difficulties and future trends of mechanical modeling are discussed for the next-generation flexible neural probes,which is critical to realize low-invasiveness and long-term coexistence in vivo.

关键词： Mechanical modeling flexible neural probes invasive theoretical calculation simulation

Flexible capacitive pressure sensor based on interdigital electrodes with porous microneedle arrays for physiological signal monitoring

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Nanotechnology and Precision Engineering 2024年第1期7卷 18-31页

作者： Jiahui Xu minghao wang Minyi Jin Siyan Shang Chuner Ni Yili Hu Xun Sun Jun Xu Bowen Ji Le Li Yuhua Cheng Gaofeng wang School of Electronics&Information MOE Engineering Research Center of Smart Microsensors and MicrosystemsHangzhou Dianzi UniversityHangzhou 310018China Wenzhou Institute of Hangzhou Dianzi University Wenzhou 310018China Key Laboratory of Intelligent Operation and Maintenance Technology&Equipment for Urban Rail Transit of Zhejiang Province College of EngineeringInstitute of Precision Machinery and Smart StructureZhejiang Normal UniversityJinhua 321004China Institute of Guizhou Aerospace Measuring and Testing Technology Guiyang 550009China Unmanned System Research Institute Northwestern Polytechnical UniversityXi’an 710072China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China

Flexible pressure sensors have many potential applications in the monitoring of physiological signals because of their good biocompatibil-ity and ***,their relatively low sensitivity,linearity,and stability have hindered their large-scale commercial ***,aﬂexible capacitive pressure sensor based on an interdigital electrode structure with two porous microneedle arrays(MNAs)is *** porous substrate that constitutes the MNA is a mixed product of polydimethylsiloxane and *** to its porous and interdigital structure,the maximum sensitivity(0.07 kPa-1)of a porous MNA-based pressure sensor was found to be seven times higher than that of an imporous MNA pressure sensor,and it was much greater than that of aﬂat pressure sensor without a porous MNA ***-element analysis showed that the interdigital MNA structure can greatly increase the strain and improve the sensitivity of the *** addition,the porous MNA-based pressure sensor was found to have good stability over 1500 loading cycles as a result of its bilayer parylene-enhanced conductive electrode *** importantly,it was found that the sensor could accurately monitor the motion of aﬁnger,wrist joint,arm,face,abdomen,eye,and Adam’s ***,preliminary semantic recognition was achieved by monitoring the movement of the Adam’s ***,multiple pressure sensors were integrated into a 33 array to detect a spatial pressure distribu-×*** to the sensors reported in previous works,the interdigital electrode structure presented in this work improves sensitivity and stability by modifying the electrode layer rather than the dielectric layer.

关键词： Capacitive pressure sensor Microneedle array Porous PDMS Interdigital electrode

基于迭代卡尔曼滤波器的GPS-激光-IMU融合建图算法

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华南理工大学学报（自然科学版） 2024年第3期52卷 75-83页

作者：丛明温旭王明昊刘冬大连理工大学机械工程学院辽宁大连116024

在当前机器人导航和环境感知领域,室外大尺度场景下的三维激光SLAM一直是一个挑战性问题。由于GPS信号在某些环境下的不稳定性和激光SLAM的误差累积特性,传统算法在大尺度场景下表现不佳。针对室外大尺度场景下三维激光SLAM(同步定位和... 详细信息

在当前机器人导航和环境感知领域,室外大尺度场景下的三维激光SLAM一直是一个挑战性问题。由于GPS信号在某些环境下的不稳定性和激光SLAM的误差累积特性,传统算法在大尺度场景下表现不佳。针对室外大尺度场景下三维激光SLAM(同步定位和地图构建)存在的误差累积严重问题,本文提出了一种基于迭代卡尔曼滤波器的GPS-激光-IMU融合建图算法。该算法通过利用惯性测量单元(IMU)数据对机器人状态进行预测,同时以激光和全球定位系统(GPS)数据作为观测,更新机器人状态,推导出观测方程和雅可比矩阵,显著提高了建图的精度和鲁棒性。里程计中融合GPS数据的绝对位置信息以解决长时间运行中的误差累积问题。在特征稀疏的环境中,由于约束不足可能导致算法崩溃,GPS数据的引入可以提高系统的鲁棒性。此外,重力对于IMU数据预测机器人状态起到关键的作用。虽然重力是三维向量,但在不发生区域变化的情况下,其模长是不变的,因此被视为二自由度向量。通过将重力的优化转化为旋转矩阵群上的优化,成功避免了重力过参数化的问题,提高了算法的精度。在室外场景下与其他算法进行了性能测试对比并且验证了在大尺度场景下的鲁棒性和精度,结果表明:本文算法的均方根误差为0.089 m,与其他算法相比降低了54%。

关键词：激光SLAM(同步定位和地图构建) 多传感器融合迭代卡尔曼滤波器重力优化

富Fe^(2+)层状材料FeOCl的低热导率

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Science China Materials 2024年第7期67卷 2217-2224页

作者：汪琳周天培台晓琳王铭浩王文杰王纯林岳郭宇桥谢毅吴长征 Key Laboratory of Precision and Intelligent Chemistry University of Science and Technology of ChinaHefei 230026China Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of ChinaHefei 230026China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Institute of Energy Hefei Comprehensive National Science Center Hefei 230031China

层状无机材料的弱层间耦合和大面积表面为构建低导热性无机固体材料提供了基本框架.合成具有足够散射和非谐波性的稳定层状材料,从而降低热导率,仍是一项挑战.本文在层状无机FeOCl材料体系中,通过一步氧化还原反应成功获得了一种结构稳... 详细信息

层状无机材料的弱层间耦合和大面积表面为构建低导热性无机固体材料提供了基本框架.合成具有足够散射和非谐波性的稳定层状材料,从而降低热导率,仍是一项挑战.本文在层状无机FeOCl材料体系中,通过一步氧化还原反应成功获得了一种结构稳定的富含Fe^(2+)的层状材料,实现了表面和界面的同步改性,并实现了超低的热导率.具体而言,系统的X射线吸收精细结构(XAFS)分析和电子能量损失光谱(EELS)分析表明,碱金属原子的层间插层和表面缺陷的引入诱导了大量Fe^(2+)的存在,从而增强了其非谐波性和声子散射.此外,声子态密度(PDOS)分布也提供了确凿的证据,证明了散射概率的提高和声子模式整体的软化.所制得的层状无机材料Fe(III)_(1−n)Fe(II)_(n)O_(1−x)Cl[K^(+)]_(m)不仅结构稳定,而且在298 K时的热导率比原始FeOCl降低了近60%,低至0.29 W m^(−1) K^(−1),这在层状无机材料中是极低的.这项研究为低导热层状材料的设计提供了新的视角.

关键词： layered materials Fe2+-rich intercalation defects thermal conductivity

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超声滚压强化对残余应力影响的研究进展

郑州航空工业管理学院学报 2024年第4期42卷 86-97页

作者：王铭豪王振崔义龙孙浩郑州航空工业管理学院航空宇航学院河南郑州450046

超声滚压强化是一种可控性强的新型表面改性技术。文章首先概括了超声滚压强化对金属表面改性的机理,从微观层面分析滚压过程中发生的应变强化、细晶强化和位错强化对材料性能的影响。在此基础上揭示了静压力、强化振幅、滚压次数和进... 详细信息

超声滚压强化是一种可控性强的新型表面改性技术。文章首先概括了超声滚压强化对金属表面改性的机理,从微观层面分析滚压过程中发生的应变强化、细晶强化和位错强化对材料性能的影响。在此基础上揭示了静压力、强化振幅、滚压次数和进给速度等超声滚压工艺参数对残余应力影响的重要性,并综述喷丸-超声滚压、激光冲击-超声滚压、热场-超声滚压、电脉冲-超声滚压四种复合技术对残余应力的调控作用。最后对超声滚压技术调控残余应力的研究现状及发展前景做出总结和展望。

关键词：超声滚压残余应力工艺参数复合强化

A review of membrane distillation enhancement via thermal management and molecular transport through nanomaterial-based membranes

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Science China(Technological Sciences) 2023年第6期66卷 1662-1682页

作者： HUANG Jian HE YuRong HUI SiYu wang minghao TANG TianQi School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China Heilongjiang Key laboratory of New Energy Storage Materials and Processes Harbin 150001China

Low-energy,high-efficiency desalination techniques are important because of the critical water-energy *** particular,membrane distillation has great potential to harness low-grade and renewable energy *** membranes using micro-and nanomaterials have new capabilities and *** review focuses on the most recent developments and potential capabilities in membrane distillation systems from the perspective of nanomaterial enhancements,thermal management,and water ***-heating nanomaterial membrane distillations using permeable composite membranes with significant photothermal or Joule-heating conversion capabilities enable macroscale thermal management and mitigate temperature polarization *** the membrane structure and its interaction with water can accelerate water transport and evaporation,improving distillation at the microscopic *** is expected to provide directions for the fabrication and manipulation of novel micro-and nanocomposite membranes for distillation processes at various levels,and enhance their applications.

关键词： membrane distillation nanomaterial enhancement self-heating thermal management molecule motion

Bi-level Optimal Planning of Voltage Regulator in Distribution Systems Considering Maximization of Incentive-based Photovoltaic Energy Integration

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2008-2017页

作者： Xu Xu Youwei Jia Chun Sing Lai minghao wang Zhao Xu Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhenChina Department of Electrical Engineering The Hong Kong Polytechnic UniversityHung HomHong Kong SARChina Department of Electrical and Electronic Engineering University Key Laboratory of Advanced Wireless Communications of Guangdong ProvinceSouthern University of Science and TechnologyShenzhen 515100China Department of Electronic and Computer Engineering Brunel Institute of Power SystemsBrunel University LondonLondonUB83PH United Kingdom Department of Electrical Engineering Shenzhen Research InstituteThe Hong Kong Polytechnic UniversityHung HomHong Kong SARChina

This paper focuses on optimal voltage regulator(VR)planning to maximize the photovoltaic(PV)energy integration in distribution *** describe the amount of dynamic PV energy that can be integrated into the power system,the concept of PV accommodation capability(PVAC)is introduced and modeled with *** proposed planning model is formulated as a Benders decomposition based bi-level stochastic optimization *** the upper-level problem,VR planning decisions and PVAC are determined via mixed integer linear programming(MILP)before considering *** in the lower-level problem,the feasibility of first-level results is checked by critical network constraints(*** magnitude constraints and line capacity constraints)under uncertainties considered by time-varying loads and PV *** this paper,these uncertainties are represented in the form of operational scenarios,which are generated by the Gaussian copula theory and reduced by a well-studied backward-reduction *** modified IEEE 33-node distribution grid is utilized to verify the effectiveness of the proposed *** results demonstrate that a PV energy integration can be significantly enhanced after optimal voltage regulator planning.

关键词： Bi-level stochastic optimization problem critical network constraints photovoltaic energy integration uncertainties voltage regulator planning