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Control, Modeling and Stability Analysis of DRU-based Grid-forming Converter

Chinese Journal of Electrical Engineering 2025年第1期11卷 83-92页

作者： Wencong Wu Minzhi Wang Liang Tu Haiqing Cai Guanglei Yan Xiaohui Qu Haohan Gu Wei Chen State Key Laboratory of HVDC China Southern Power GridGuangzhou 510663China National Energy Power Grid Technology R&D Center Guangzhou 510663China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power Systems China Southern Power GridGuangzhou 510663China CSG Key Laboratory for Power System Simulation China Southern Power GridGuangzhou 510663China School of Electrical Engineering Southeast UniversityNanjing 210096China

Diode rectifier unit(DRU)-based high-voltage direct current(HVDC)transmissionsystems areeffectivein achieving the stableandeconomical operation of offshore *** theuncontrollable characteristicsof DRUs,a grid-forming(GFM)strategy forwind-turbine converters isnecessary to support offshore AC voltageand ***,the active power-synchronization control in traditional GFM converters is unsuitable for DRU-based GFM ***,the stability issue for DRU-based HVDC systems involving DRU-based GFM and grid-following(GFL)converters has not yet been *** solve these issues,this study begins with the characteristics of a DRU-based HVDC system and presents a control scheme for DRU-based GFM converters for power ***,the dq-frame impedance model of the DRU-based GFM converteris proposed for the stability analysis of the entire HVDC ***,a simulation platform is built to verify the model accuracy and system stability.

关键词： Diode rectifier unit offshore wind-powergeneration grid-forming converter impedance model stabilityanalysis

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Gas production mechanism of Irgamet 39 and its long‐term corrosion resistance

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High Voltage 2023年第5期8卷 931-942页

作者： Huiying Xiang Yuan Yuan Guoyong Liu Xue Gao Cheng Zhang Jiang Zhou Ruijin Liao College of Materials Science and Engineering Chongqing UniversityChongqingChina State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing UniversityChongqingChina Dongfang Electric Machinery Co. LtdDeyangChina

The phenomenon of transformer failure caused by oil‐sulphur corrosion of oil₋paper insulation system has always been concerned by *** 39 is the most used metal passivator for inhibiting sulphur ***,Irgamet 39 causes abnormal dissolved gas in oil during the process of exerting anti‐corrosion ***,the gas production mechanism of Irgamet 39 and its long‐term corrosion resistance were *** with other metal passivators,the Irgamet 39 produces more dissolved gases in oil,especially H_(2),CO and CO_(2).The main sources of free radicals in the gas production process are from the branched chains of the Irgamet 39 structure(−CH_(2)N(C_(8)H_(17))_(2)and−CH_(3)).Furthermore,the ageing products of insulating paper and oil promote the cleavage of the chain in the Irgamet 39 molecule,which then causes Irgamet 39 to generate more dissolved *** 39 exhibits excellent long‐term corrosion inhibition properties,while it also leads to abnormal gases in the oil,which can affect the interpretation of the dissolved gas analysis data and thus interfere with the *** work provides useful information for the practical application of Irgamet 39 and helps electrical workers make reasonable predictions for transformer problems.

关键词： corrosion resistance mechanism

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Models and Methods for Planning Hydrogen Supply Chain systems

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CSEE Journal of Power and Energy systems 2024年第6期10卷 2517-2527页

作者： Han Liu Jing Ma Research Institute of Emergency Science China Coal Research Institute CCRIChina Coal Technology&Engineering Group(CCTEG)Beijing 100013China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

Hydrogen is becoming an important candidate for replacing fossil fuels in the future energy *** such,efficient hydrogen supply chain system planning and the promotion of its large-scale civilian and commercial applications are *** identify research gaps in the field,this study reviews models and methods for planning hydrogen supply chain systems that have been employed over the past 15 *** decision aspects and objectives in the hydrogen supply system are ***,problem types,modeling techniques and solution methods are analyzed and classified based on their individual ***,potential directions promoted by economic factors are recommended for future research.

关键词： Hydrogen planning model supply chain system solution method

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Research on Global Temperature Rise Characteristics of Hysteresis Motor Based on Dynamic Loss Model 1

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Li, Shaolin Xu, Qiwei Wang, Qian State Key Laboratory of Mechanical Transmissions Chongqing University Chongqing400044 China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400044 China

ISBN: (数字)9789819904518

ISBN: (纸本)9789819904501

Hysteresis motors are widely used in gyroscopes due to their self-starting capability, high starting torque and simple geometry, and are key components to ensure the normal on-orbit operation of satellites or launch vehicles. The drift caused by the temperature change will have a great impact on the accuracy of the instrument, so it is necessary to study the global temperature rise of the hysteresis motor. Motor loss is the main heat source in motor operation, and improving its calculation accuracy is the premise to ensure the accuracy of global temperature rise. However, different from the traditional motor, the nonlinearity of the hysteresis material of the hysteresis motor and the complexity of the starting process make its analysis difficult. This paper firstly proposes a method to determine the working hysteresis loop through Preisach model. Based on this, the loss calculation model of the hysteresis motor is deduced and verified by simulation. Finally, the result of loss model is used as the heat source, and the global temperature rise characteristics of the motor are studied. The temperature distribution rules and design points of key structures are obtained, which has certain reference significance for the thermal design of hysteresis motors. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Temperature distribution

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Design of Gravity Compensation Scheme for Passive Lifting Method of Multi-degree Freedom Robotic Arm 18

Design of Gravity Compensation Scheme for Passive Lifting Me...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Sun, Jing Wei, Chaoran Chen, Haotai Wang, Bin Li, Xingguang Zhang, Qiang Beijing Institute of Control Engineering Space Drive and Manipulation Mechanism Laboratory Beijing China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350312201

Before launching a spacecraft, it is necessary to undergo micro low gravity simulations on the ground to test its reliability. The lifting method is not limited by movement time and space, and can simulate long-term low gravity environments. However, the degree of freedom of spatial mechanisms is gradually increasing, and the motion is becoming increasingly complex, making traditional lifting methods unable to meet the needs. In response to the above issues, a lifting gravity simulation scheme for a multi degree of freedom robotic arm that can achieve complex motion is proposed. The design adopts a single sling combined with a hanger to avoid interference during the motion process. Finally, simulation and experiments have proven the feasibility of the scheme - it can achieve efficient unloading without affecting the normal movement of the equipment. © 2023 IEEE.

关键词： Robotic arms

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A Valuable and Low-Budget Process Scheme of Equivalized 1 nm technology Node Based on 2D Materials

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Nano-Micro Letters 2025年第8期17卷 294-305页

作者： Yang Shen Zhejia Zhang Zhujun Yao Mengge Jin Jintian Gao Yuhan Zhao Wenzhong Bao Yabin Sun He Tian College of Integrated Circuit Science and Engineering Shanghai Key Laboratory of Multidimensional Information ProcessingEast China Normal UniversityShanghai 200241People’s Republic of China Institute of Microelectronics and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084People’s Republic of China State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433People’s Republic of China Shaoxin Laboratory Shaoxing 312000People’s Republic of China

Emerging two-dimensional(2D)semiconductors are among the most promising materials for ultra-scaled transistors due to their intrinsic atomic-level *** the stacking process advances,the complexity and cost of nanosheet field-effect transistors(NSFETs)and complementary FET(CFET)continue to *** 1 nm technology node is going to be based on Si-CFET process according to international roadmap for devices and systems(IRDS)(2022,https://***/),but not publicly confirmed,indicating that more possibilities still *** miniaturization advantage of 2D semiconductors motivates us to explore their potential for reducing process costs while matching the performance of next-generation nodes in terms of area,power consumption and *** this study,a comprehensive framework is built.A set of MoS2 NSFETs were designed and fabricated to extract the key parameters and *** then for benchmarking,the sizes of 2D-NSFET are scaled to a extent that both of the Si-CFET and 2D-NSFET have the same average device *** these conditions,the frequency of ultra-scaled 2D-NSFET is found to improve by 36%at a fixed power *** work verifies the feasibility of replacing silicon-based CFETs of 1 nm node with 2D-NSFETs and proposes a 2D technology solution for 1 nm nodes,i.e.,“2D eq 1 nm”*** the same time,thanks to the lower characteristic length of 2D semiconductors,the miniaturized 2D-NSFET achieves a 28%frequency increase at a fixed power ***,developing a standard cell library,these devices obtain a similar trend in 16-bit RISC-V *** work quantifies and highlights the advantages of 2D semiconductors in advanced nodes,offering new possibilities for the application of 2D semiconductors in high-speed and low-power integrated circuits.

关键词： Two-dimensional semiconductors 1 nm technology node Nanosheet field-effect transistors Complementary field-effect transistors Horizontal scaling

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Few-shot working condition recognition of a sucker-rod pumping system based on a 4-dimensional time-frequency signature and meta-learning convolutional shrinkage neural network

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Petroleum Science 2023年第2期20卷 1142-1154页

作者： Yun-Peng He Chuan-Zhi Zang Peng Zeng Ming-Xin Wang Qing-Wei Dong Guang-Xi Wan Xiao-Ting Dong State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyangLiaoning 110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyangLiaoning 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyangLiaoning 110169China University of Chinese Academy of Sciences Beijing100049China Shenyang University of Technology ShenyangLiaoning 110870China School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyangLiaoning 110159China

The accurate and intelligent identification of the working conditions of a sucker-rod pumping system is necessary. As onshore oil extraction gradually enters its mid-to late-stage, the cost required to train a deep learning working condition recognition model for pumping wells by obtaining enough new working condition samples is expensive. For the few-shot problem and large calculation issues of new working conditions of oil wells, a working condition recognition method for pumping unit wells based on a 4-dimensional time-frequency signature (4D-TFS) and meta-learning convolutional shrinkage neural network (ML-CSNN) is proposed. First, the measured pumping unit well workup data are converted into 4D-TFS data, and the initial feature extraction task is performed while compressing the data. Subsequently, a convolutional shrinkage neural network (CSNN) with a specific structure that can ablate low-frequency features is designed to extract working conditions features. Finally, a meta-learning fine-tuning framework for learning the network parameters that are susceptible to task changes is merged into the CSNN to solve the few-shot issue. The results of the experiments demonstrate that the trained ML-CSNN has good recognition accuracy and generalization ability for few-shot working condition recognition. More specifically, in the case of lower computational complexity, only few-shot samples are needed to fine-tune the network parameters, and the model can be quickly adapted to new classes of well conditions.

关键词： Few-shot learning Indicator diagram Meta-learning Soft thresholding Sucker-rod pumping system Time–frequency signature Working condition recognition

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A Comprehensive Vulnerable Line Identification Method for Distribution Network Consider-ing Cyber-physical Coupling 8

A Comprehensive Vulnerable Line Identification Method for Di...

引用

8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Huang, Fei Mo, Fan Ouyang, Jinxin Dai, Jian Liu, Hongzhi Zhao, Junguang State Grid Chongqing Power Company Power Science Research Institute Power System Technology Department Chongqing400044 China Chongqing University State Key Laboratory of Power Transmission Equipment Technology Chongqing China State Grid Chongqing Electric Power Company Power System Technology Department Chongqing China

ISBN: (纸本)9798331506230

By identifying the key lines of the network and assessing the vulnerability of the distribution network, so as to effectively allocate security resources, the power supply reliability of the distribution network can be effectively improved. However, the definition of vulnerability assessment of the existing distribution network is relatively simple, and the high degree of interconnection between the information network and the physical network is not considered, and there is a lack of reliable indicators and methods for the identification of vulnerable lines in the cyber-physical system of the distribution network. Therefore, considering the energy supply characteristics of physical nodes to in-formation nodes, a cyber-physical system model of distribution network with distributed generators is established. In this paper, three kinds of vulnerable line identification indexes of the cyber-physical system of distribution network, namely line comprehensive degree, line comprehensive load impact vulnerability and line comprehensive fault vulnerability, are proposed. The example shows that the proposed method can consider the coupling characteristics of the cyber-physical system and the influence of distributed power generation, and can more comprehensively identify the vulnerable lines of the distribution network. © 2024 IEEE.

关键词： Power distribution networks

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A Data-Driven Method for Ship Collision Risk Detection in Heavy Traffic Waters 14

A Data-Driven Method for Ship Collision Risk Detection in He...

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14th International Conference on Information Science and technology, ICIST 2024

作者： Lv, Haoran Mou, Junmin Zhang, Liang Li, Mengxia Chen, Pengfei School of Navigation Wuhan University of Technology Wuhan China State Key Laboratory of Maritime Technology and Safety Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350353334

Intended to solve the problem of poor generalization of complex collision risk model, this paper proposes a novel collision risk model based on data-driven. Firstly, the main traffic pattern is clustered by Ordering Points to Identify the Clustering Structure algorithm. Afterwards, using probability statistics and mining the altering behaviors identify the abnormal behavior. And then, encounter situation and avoidance behaviors are identified by analyzing the relative motion characteristics of the two ships. Finally, by Kullback-Leibler dispersion and kernel density estimation methods, the key parameters are extracted from encounter data with avoidance behaviors. The collision risk model based on data-driven is constructed. To verify the effectiveness of the proposed method, the method is used in a heavy traffic area, the mouth of Yangtze River, China. The results show that the collision risk model based on data-driven can be more accurate. © 2024 IEEE.

关键词： Ships

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Insulators Defect Detection for Power Grid Based on Improved Yolov7 Algorithm 13

Insulators Defect Detection for Power Grid Based on Improved...

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13th International Conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Zhang, Zhiwei Zhuang, Yan Liang, Zhida Kong, Shuai Zhu, Shengyi School of Control Science and Engineering Dalian University of Technology Dalian China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province Zhejiang Academy of Special Equipment Science Hangzhou China

ISBN: (纸本)9798331516147

High-current out-of-phase closed bus is an essential link in the transmission of electric energy and is widely used in thermal power stations, hydropower stations and nuclear power plants. Although these busbars have the advantages of excellent dustproof effect and strong magnetic shielding, they are susceptible to insulator aging and damage in long-term operation, posing a potential safety risk to the power grid. Due to the enclosed space inside the bus and the complexity of external maintenance tasks, manual inspection has problems such as inefficiency and low safety. In order to solve these problems, this paper proposes an improved detection algorithm based on Yolov7 for insulator defect detection in hydropower station scenarios. Because of the particularity of Yolov7 network structure and application scenarios, this paper proposes a Channel Feature Enhancement module to enhance the channel representation ability of the network. In addition, an Edge Feature Enhancement module is introduced to improve the boundary detection of insulators by enhancing the contrast between the target and the background. Considering the limitations of existing studies in specific scenarios and the scarcity of dataset, this paper constructs and accurately annotates an insulator defect detection dataset applied to hydropower station scenarios. Experimental results show that the improved-Yolov7-tiny algorithm in this paper achieves a balance between accuracy and inference speed. © 2025 IEEE.

关键词： Magnetic shielding

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