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Curvature Quantified Douglas-Peucker-based Phasor Measurement Unit Data Compression Method for Power System Situational Awareness

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Protection and Control of Modern Power Systems 2024年第2期9卷 128-137页

作者： Weitao Tan Tianhan Zhang Yuanqian Ma Shengyuan liu li Yang Zhenzhi lin College of electrical engineering Zhejiang UniversityHangzhouChina electrical engineering and its {2. from sichuan university ChengduChina electrical engineering from Shandong {2. JinanChina electrical engineering from Zhejiang {2. HangzhouChina College of electrical engineering Zhejiang UniversityHangzhou 310027China

Facing constraints imposed by storage and bandwidth limitations,the vast volume of phasor meas-urement unit(PMU)data collected by the wide-area measurement system(WAMS)for power systems cannot be fully *** limitation significantly hinders the effective deployment of situational awareness technologies for systematic *** this work,an effective curvature quantified Douglas-Peucker(CQDP)-based PMU data compression method is proposed for situational awareness of power ***,a curvature integrated distance(CID)for measuring the local flection and fluc-tuation of PMU signals is *** Doug-las-Peucker(DP)algorithm integrated with a quan-tile-based parameter adaptation scheme is then proposed to extract feature points for profiling the trends within the PMU *** allows adaptive adjustment of the al-gorithm parameters,so as to maintain the desired com-pression ratio and reconstruction accuracy as much as possible,irrespective of the power system ***-nally,case studies on the Western Electricity Coordinat-ing Council(WECC)179-bus system and the actual Guangdong power system are performed to verify the effectiveness of the proposed *** simulation results show that the proposed method achieves stably higher compression ratio and reconstruction accuracy in both steady state and in transients of the power system,and alleviates the compression performance degradation problem faced by existing compression *** Terms—Curvature quantified Douglas-Peucker,data compression,phasor measurement unit,power sys-tem situational awareness.

关键词： Curvature quantified Douglas-Peucker data compression phasor measurement unit power sys-tem situational awareness

Convolution-Transformer for Image Feature Extraction

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Computer Modeling in engineering & Sciences 2024年第10期141卷 87-106页

作者： lirong Yin Lei Wang Siyu Lu Ruiyang Wang Youshuai Yang Bo Yang Shan liu Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin Xiaolu li Xiaobing Chen Wenfeng Zheng Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA70803USA School of automation University of Electronic Science and Technology of ChinaChengdu610054China College of Computer and Information Sciences King Saud UniversityRiyadh11574Saudi Arabia College of Resources and Environmental engineering Key Laboratory of Karst Georesources and Environment(Guizhou University)Ministry of EducationGuiyang550025China School of Geographical Sciences Southwest UniversityChongqing400715China School of electrical and Computer engineering Louisiana State UniversityBaton RougeLA70803USA

This study addresses the limitations of Transformer models in image feature extraction,particularly their lack of inductive bias for visual *** to Convolutional Neural Networks(CNNs),the Transformers are more sensitive to different hyperparameters of optimizers,which leads to a lack of stability and slow *** tackle these challenges,we propose the Convolution-based Efficient Transformer Image Feature Extraction Network(CEFormer)as an enhancement of the Transformer *** model incorporates E-Attention,depthwise separable convolution,and dilated convolution to introduce crucial inductive biases,such as translation invariance,locality,and scale invariance,into the Transformer ***,we implement a lightweight convolution module to process the input images,resulting in faster convergence and improved *** results in an efficient convolution combined Transformer image feature extraction *** results on the ImageNet1k Top-1 dataset demonstrate that the proposed network achieves better accuracy while maintaining high computational *** achieves up to 85.0%accuracy across various model sizes on image classification,outperforming various baseline *** integrated into the Mask Region-ConvolutionalNeuralNetwork(R-CNN)framework as a backbone network,CEFormer outperforms other models and achieves the highest mean Average Precision(mAP)*** research presents a significant advancement in Transformer-based image feature extraction,balancing performance and computational efficiency.

关键词： Transformer E-Attention depth convolution dilated convolution CEFormer

基于三次谐波注入的桥臂交替换流器子模块电容优化方法

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电力系统自动化 2024年第12期48卷 165-176页

作者：王顺亮廖鑫张芮马俊鹏李金铭刘天琪四川大学电气工程学院四川省成都市610065

桥臂交替换流器(AAC)具有子模块数目少和电容小等优点,在交直流系统功率互联和柔性直流输电中具备广阔应用前景。针对AAC存在的固定调制度运行缺陷和工程应用子模块电容经济性问题,提出了一种基于三次谐波注入的AAC子模块电容优化方法... 详细信息

桥臂交替换流器(AAC)具有子模块数目少和电容小等优点,在交直流系统功率互联和柔性直流输电中具备广阔应用前景。针对AAC存在的固定调制度运行缺陷和工程应用子模块电容经济性问题,提出了一种基于三次谐波注入的AAC子模块电容优化方法和闭环控制策略。文中首先介绍了AAC的拓扑结构和运行原理,根据换流器能量平衡方程给出注入三次谐波后AAC的宽调制度运行条件,并设计了AAC的闭环控制策略;然后,基于子模块电压波动数学模型,建立了AAC的能量波动方程,能够精确生成不同调制度和功率因数角下的能量波动模型,定量分析了注入三次谐波后能够降低的能量波动峰值和子模块电容优化率,所提出的子模块电容优化方法和闭环控制策略在实现AAC宽调制度稳定运行的同时,注入的三次谐波不改变AAC能量平衡条件,最高能够降低AAC子模块电容大小为传统控制方式下的12.1%;最后,在电磁暂态仿真软件和StarSim半实物平台中搭建模型,验证了所提分析方法和控制策略的有效性。

关键词：高压直流输电桥臂交替换流器电容优化能量波动方程能量平衡移相导通

基于修正J-A模型和改进遗传算法的变压器建模方法

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电力自动化设备 2024年第9期44卷 219-224页

作者：王顺亮何坤周俊杰马俊鹏刘天琪辛清明李欢四川大学电气工程学院四川成都610065 南方电网科学研究院有限责任公司广东广州510663

变压器直流偏磁会导致铁心半周饱和,可能导致高压直流输电系统中谐波不稳定现象发生。为实现对直流偏磁条件下变压器运行工况的精确模拟,基于能量守恒式及Langevin方程对原Jiles-Atherton(J-A)模型进行修正;进一步提出了适用于修正J-A... 详细信息

变压器直流偏磁会导致铁心半周饱和,可能导致高压直流输电系统中谐波不稳定现象发生。为实现对直流偏磁条件下变压器运行工况的精确模拟,基于能量守恒式及Langevin方程对原Jiles-Atherton(J-A)模型进行修正;进一步提出了适用于修正J-A模型参数辨识的改进遗传算法,提高了传统遗传算法的全局搜索精度和收敛速度。在PSCAD/EMTDC中基于修正J-A模型搭建了非线性磁滞电感,在此基础上建立变压器仿真模型;基于等比缩小的变压器实物进行直流偏磁实验,将励磁电流仿真波形与实验波形进行对比。结果表明:修正的J-A模型物理意义更加明确,改进遗传算法具有更高的精度和更快的收敛速度,所建变压器模型与实验结果吻合度很高,验证了所提建模方法的准确性。

关键词：直流偏磁 Jiles-Atherton模型遗传算法变压器建模 PSCAD/EMTDC

Robust adaptive output feedback control of nonlinearly parameterized systems

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Frontiers of electrical and Electronic engineering in{2. 2007年第3期2卷 282-287页

作者： liu Yusheng li {2. School of electrical engineering and Information Science Sichuan UniversityChengdu 610065China

The ideas of adaptive nonlinear damping and changing supply functions were used to counteract the effects of parameter and nonlinear uncertainties,unmodeled dynamics and unknown bounded *** high-gain observer was used to estimate the state of the system.A robust adaptive output feedback control scheme was proposed for nonlinearly parameterized systems represented by input-output *** scheme does not need to estimate the unknown parameters nor add a dynamical signal to dominate the effects of unmodeled *** is proven that the proposed control scheme guarantees that all the variables in the closed-loop system are bounded and the mean-square tracking error can be made arbitrarily small by choosing some design parameters *** results have illustrated the effectiveness of the proposed robust adaptive control scheme.

关键词： nonlinearly parameterized systems adaptive control output feedback unmodeled dynamics robustness stability

Consensus of Multi-Agent Systems with General linear Dynamics and Reduced-Order Protocols

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Consensus of Multi-Agent Systems with General Linear Dynamic...

Finite-time fault-tolerant control of teleoperating cyber physical system against faults

第三十届中国控制会议

作者： li Zhongkui~1,liu Xiangdong~1,liN Peng~2.REN Wei~3 1.School of automation,Beijing Institute of Technology,Beijing 100081,P.R.china 2.Institute of Astronautics and Aeronautics,university of Electronics Science and Technology of china, chengdu 610054,P.R.china 3.Department of electrical and Computer engineering,Utah State university,Logan,UT 8432.,USA

＜正＞This paper considers the consensus problems for both continuous- and discrete-time linear multi-agent systems with directed communication *** reduced-order observer-based consensus protocols are proposed,based on the relative outputs of neighboring agents.A multi-step algorithm is presented to construct a reduced-order protocol,under which a continuous-time multi-agent system whose communication topology contains a directed spanning tree can reach *** algorithm has a favorable decoupling *** light of the modified algebraic Riccati equation,an algorithm is then given to construct a reduced-order protocol for the discrete-time case.

关键词： Multi-agent system Consensus Reduced-order protocol

来源： cnki会议评论

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Journal of Systems engineering and Electronics 2023年第2期34卷 469-478页

作者： PAN Chengwei liu Xia CHEN Yong li Meng School of automation engineering University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Electric Vehicle Driving System and Safety Technology University of Electronic Science and Technology of ChinaChengdu 611731China School of electrical engineering and Electronic Information Xihua UniversityChengdu 610039China

This paper studies a finite-time adaptive fractionalorder fault-tolerant control(FTC)scheme for the slave position tracking of the teleoperating cyber physical system(TCPS)with external disturbances and actuator *** on the fractional Lyapunov stability theory and the finite-time stability theory,a fractional-order nonsingular fast terminal sliding mode(FONFTSM)control law is proposed to promote the tracking and fault tolerance performance of the considered ***,the adaptive fractional-order update laws are designed to cope with the unknown upper bounds of the unknown actuator faults and external ***,the finite-time stability of the closed-loop system is ***,comparison simulation results are also provided to show the validity and the advantages of the proposed techniques.

关键词： teleoperating cyber physical system(TCPS) fractional Lyapunov stability fault-tolerant control(FTC) finite-time stability

An Enhanced Data-Driven Model for lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge

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Automotive Innovation 2022年第2期5卷 134-145页

作者： Huanyang Huang Jinhao Meng Yuhong Wang Lei Cai Jichang Peng Ji Wu Qian Xiao tianqi liu Remus Teodorescu College of electrical engineering Sichuan UniversityChengduChina Faculty of Computer Science and engineering Shanxi Key Laboratory for Network Computing and Security TechnologyXi’an University of TechnologyXi’anChina Smart Grid Research Institute Nanjing Institute of TechnologyNanjingChina Department of automation University of Science and Technology of ChinaHefeiChina Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjinChina Department of Energy Technology Aalborg University9220 AalborgDenmark

In the long-term prediction of battery degradation,the data-driven method has great potential with historical data recorded by the battery management *** paper proposes an enhanced data-driven model for lithium-ion(li-ion)battery state of health(SOH)estimation with a superior modeling procedure and optimized *** Gaussian process regression(GPR)method is adopted to establish the data-driven estimator,which enables li-ion battery SOH estimation with the uncertainty level.A novel kernel function,with the prior knowledge of li-ion battery degradation,is then introduced to improve the mod-eling capability of the *** for the features,a two-stage processing structure is proposed to find a suitable partial charging voltage profile with high *** the first stage,an optimal partial charging voltage is selected by the grid search;while in the second stage,the principal component analysis is conducted to increase both estimation accuracy and computing *** of the proposed method are validated on two datasets from different li-ion batteries:Compared with other methods,the proposed method can achieve the same accuracy level in the Oxford dataset;while in Maryland dataset,the mean absolute error,the root-mean-squared error,and the maximum error are at least improved by 16.36%,32.43%,and 45.46%,respectively.

关键词： li-ion battery State of health Gaussian process regression Kernel function Feature optimization

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面向动态交通流多步预测的时空图模型

计算机工程与设计 2024年第4期45卷 1195-1201页

作者：杨平李成鑫刘宜成吕淳朴四川大学电气工程学院四川成都610065 清华大学自动化系北京100084

为更好表征交通路网中节点之间的动态隐式关系,提出一种基于时空数据嵌入的动态图卷积交通流预测模型。基于路网中节点之间的共现关系,利用深度游走算法将时空数据映射到嵌入空间中学习节点的向量表示;引入时隙嵌入特征与二维空间嵌入... 详细信息

为更好表征交通路网中节点之间的动态隐式关系,提出一种基于时空数据嵌入的动态图卷积交通流预测模型。基于路网中节点之间的共现关系,利用深度游走算法将时空数据映射到嵌入空间中学习节点的向量表示;引入时隙嵌入特征与二维空间嵌入特征共同构建三维嵌入邻接张量,用于捕获时空依赖关系;在图卷积网络中添加自适应更新机制,利用循环组件演化图卷积网络的参数,以捕获图序列的动态性。将所提模型应用于基于真实交通数据集的交通流预测,结果验证了其有效性和提取路网隐式关系的准确性。

关键词：交通流预测时空数据嵌入深度游走算法节点向量表示时空依赖动态图卷积自适应更新机制