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2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020

作者： Li, Zhenxing Zhou, Jianyu Chen, Xia Wen, Jinyu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781728191645

The traditional combined heat and power (CHP) systems rely on fossil energy sources. Most of the recent research on the CHP system is static analysis, and the lack of dynamic mechanism research makes the system's regulation inaccurate. This paper develops a renewable-energy-base heat and power (REHP) system. The whole system can be divided into several modules through modular decomposition. The dynamic mechanism is analyzed for each module and the corresponding model is constructed. Based on each module, a simulation platform that can reflect the system's dynamics is constructed. To overcome the fluctuation of renewable energy and stabilize the energy output of RECHP, a real-time regulation method is proposed. The simulation results verify the effectiveness of the constructed simulation model and the regulation method. © 2020 IEEE.

关键词： Renewable energy resources

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Partial Discharge Small Sample Pattern Recognition for Generator Stator based on SP-Attention and Triplet-DenseNet

Partial Discharge Small Sample Pattern Recognition for Gener...

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International Conference on High Voltage engineering and Application, ICHVE

作者： Hongyu Wang Xiaosheng Peng Cong Li Peng Ling Tao Liu Yue Zhang Jin Zhou The State Key Laboratory of Advanced Electromagnetic Engineering and Technology Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China China Southern Power Grid Energy Storage Co. Ltd. Guangzhou China Dongfang Electric Machinery Company Ltd. Dongfang Electric Corporation Deyang China

ISBN: (数字)9798350374988

ISBN: (纸本)9798350374995

A novel partial discharge (PD) pattern recognition method based on SP-Attention and Triplet-DenseNet is proposed. Generator stators face a multitude of aging stresses that can compromise their insulation systems, making reliable PD detection crucial for assessing their condition. Traditional methods face challenges due to the scarcity of comprehensive and well-labeled datasets. Our proposed method integrates SP-Attention to enhance feature extraction throughout Phase-Resolved Partial Discharge (PRPD) spectra, establishing critical long-range dependencies within the dataset. Furthermore, we employ Triplet-DenseNet, a contrastive learning framework designed to efficiently process features in datasets with limited samples. This system significantly improves diagnostic capabilities, especially in distinguishing between highly similar PD patterns. In laboratory conditions, common insulation defects were simulated and subsequent tests were conducted. These tests were shown to confirm that our method surpasses traditional deep learning models in terms of accuracy and robustness. The proposed method achieves an accuracy exceeding 97% in scenarios characterized by limited and similar sample sets, significantly enhancing the analysis of generator stator PD.

关键词： Partial discharges Training Deep learning Insulation Accuracy Face recognition Feature extraction

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Photonic axion insulator

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Science (New York, N.Y.) 2025年第6730期387卷 162-166页

作者： Liu, Gui-Geng Mandal, Subhaskar Xi, Xiang Wang, Qiang Devescovi, Chiara Morales-Pérez, Antonio Wang, Ziyao Yang, Linyun Banerjee, Rimi Long, Yang Meng, Yan Zhou, Peiheng Gao, Zhen Chong, Yidong García-Etxarri, Aitzol Vergniory, Maia G. Zhang, Baile Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore Research Center for Industries of the Future Department of Electronic and Information Engineering School of Engineering Westlake University Hangzhou China School of Electrical Engineering and Intelligentization Dongguan University of Technology Dongguan China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing China Donostia International Physics Center Donostia-San Sebastian Spain Institute for Theoretical Physics ETH Zurich Zurich Switzerland Material and Applied Physics Department University of the Basque Country (UPV/EHU) Donostia-San Sebastián Spain Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China National Engineering Research Center of Electromagnetic Radiation Control Materials Key Laboratory of Multi-spectral Absorbing Materials and Structures of Ministry of Education University of Electronic Science and Technology of China Chengdu China State Key Laboratory of Optical Fiber and Cable Manufacture Technology Department of Electronic and Electrical Engineering Guangdong Key Laboratory of Integrated Optoelectronics Intellisense Southern University of Science and Technology Shenzhen China Centre for Disruptive Photonic Technologies Photonics Institute Nanyang Technological University Singapore IKERBASQUE Basque Foundation for Science Bilbao Spain Max Planck Institute for Chemical Physics of Solids Dresden Germany Département de Physique et Institut Quantique Université de Sherbrooke Sherbrooke Canada

Axions, hypothetical elementary particles that remain undetectable in nature, can arise as quasiparticles in three-dimensional crystals known as axion insulators. Previous implementations of axion insulators have largely been limited to two-dimensional systems, leaving their topological properties in three dimensions unexplored in experiment. Here, we realize an axion insulator in a three-dimensional photonic crystal and probe its topological properties. Demonstrated features include half-quantized Chern numbers on each surface that resembles a fractional Chern insulator, unidirectional chiral hinge states forming topological transport in three dimensions, and arithmetic operations between fractional and integer Chern numbers. Our work experimentally establishes the axion insulator as a three-dimensional topological phase of matter and enables chiral states to form complex, unidirectional three-dimensional networks through braiding.

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Static Stable Working Zone of Grid-Connected Converter Connecting with Synchronous Generator

Static Stable Working Zone of Grid-Connected Converter Conne...

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2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020

作者： Chen, Songbai Lin, Xinchun Zheng, Yun Liu, Wenbin Guo, Xiaoshun Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

Grid-connected converter (GCC) and synchronous generator (SG) are important power interface devices in grid-connected power generation systems. The coupling between GCC and SG under weak grid conditions directly affects the static stability of the power system. In this paper, for the two-machine system composed of renewable-energy grid-connected converter and SG, the static stability and static limit power under weak grid conditions are studied. Firstly, starting from the basic working principles of GCC and SG, the mathematical models are established. Secondly, based on the fundamental frequency equivalent circuit of the two-machine system, the output active power characteristics of GCC and SG are studied. On this basis, the eigenvalue analysis method is used to derive the static stability criterion of the system and the constraint relationship of the static limit power between GCC and SG. Finally, the correctness of theoretical analysis is verified by Matlab/Simulink simulation. © 2020 IEEE.

关键词： Synchronous generators

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Enhanced dynamo drive for the sawtooth relaxation process due to non-uniform resistivity distribution in a reversed field pinch

arXiv

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arXiv 2025年

作者： Yan, Wentan Zhu, Ping Li, Hong Liu, Wandong Luo, Bing Li, Haolong KTX Laboratory Department of Plasma Physics and Fusion Engineering University of Science and Technology of China Anhui Hefei230026 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Nuclear Engineering and Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States Hunan Province Key Laboratory Integration and Optical Manufacturing Technology College of Mathematics and Physics Hunan University of Arts and Science Hunan Changde415000 China Department of Physics School of Science Tianjin University of Science and Technology Tianjin300457 China

In this work, we use the three-dimensional resistive MHD code NIMROD to investigate the impact of resistivity inhomogeneity on the sawtooth process of an reversed field pinch (RFP) plasma. The simulation employs a non-uniform resistivity profile similar to experiments, which monotonically increases from the core to the edge as the temperature decreases. The resistivity inhomogeneity introduces an additional electric field in the plasma, which accelerates the inward diffusion of magnetic flux and changing the self sustained reversal state, hence significantly enhances the dynamo effect and the sawtooth process in the RFP plasma. Copyright © 2025, The Authors. All rights reserved.

关键词： Electric fields

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An Approach to Identify VLF/LF Cloud-to-ground Return Stroke Electric Field Waveform Based on Convolutional Neural Network

An Approach to Identify VLF/LF Cloud-to-ground Return Stroke...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Xiao, Lilang Chen, Weijiang Wang, Yu Fu, Zhong Cheng, Yang Chen, Shen Bian, Kai He, Hengxin Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China Wuhan Nari Limited Liability Company State Grid Electric Power Research Institute Wuhan430074 China State Grid Corporation of China Beijing China State Grid Electric Power Research Institute State Grid Corporation Anhui Hefei China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

The identification of lightning return stroke waveform plays an important role in the accurate location of lightning. Very low frequency/low frequency (VLF/LF) electromagnetic signals are widely used in lightning detection systems. The signals in this frequency band have a long propagation distance and are prone to attenuation distortion, which makes it more possible to misclassify the return stroke waveforms when using methods based on some specific waveform characteristic. The convolutional neural network is robust enough and performs well at discovering hidden patterns in images. In this paper, the residual convolutional neural network model is trained to obtain the waveform classifier. The lightning waveform data dataset is collected by lightning electric field measuring meters deployed in various provinces. After training, the classification accuracy of this classifier reaches 97.2% in the test set, and the accuracy reaches 86.75% using the traditional method based on waveform characteristics. The result proves the superior performance of the residual convolutional neural network model. By exploring the interpretability of the model, it is also proved that the better performance of the convolution network model comes from making full use of waveform information. © 2022 IEEE.

关键词： Neural network models

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Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation

arXiv

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arXiv 2023年

作者： Shen, Chengshuo Zheng, Wei Guo, Bihao Ding, Yonghua Chen, Dalong Ai, Xinkun Xue, Fengming Zhong, Yu Wang, Nengchao Shen, Biao Xiao, Binjia Chen, Zhongyong Pan, Yuan State Key Laboratory of Advanced Electromagnetic Engineering and Technology International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China Institute of Plasma Physics Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China

The high acquisition cost and the significant demand for disruptive discharges for data-driven disruption prediction models in future tokamaks pose an inherent contradiction in disruption prediction research. In this paper, we demonstrated a novel approach to predict disruption in a future tokamak using only a few discharges. The approach aims to predict disruption by finding a feature space that is universal to all tokamak. The first step is to use the existing understanding of physics to extract physics-guided features from the diagnostic signals of each tokamak, called physics-guided feature extraction (PGFE). The second step is to align a few data from the future tokamak (target domain) and a large amount of data from existing tokamak (source domain) based on a domain adaptation algorithm called CORrelation ALignment (CORAL). It is the first attempt at applying domain adaptation in the task of disruption prediction. PGFE has been successfully applied in J-TEXT to predict disruption with excellent performance. PGFE can also reduce the data volume requirements due to extracting the less device-specific features, thereby establishing a solid foundation for cross-tokamak disruption prediction. We have further improved CORAL (supervised CORAL, S-CORAL) to enhance its appropriateness in feature alignment for the disruption prediction task. To simulate the existing and future tokamak case, we selected J-TEXT as the existing tokamak and EAST as the future tokamak, which has a large gap in the ranges of plasma parameters. The utilization of the S-CORAL improves the disruption prediction performance on future tokamak. Through interpretable analysis, we discovered that the learned knowledge of the disruption prediction model through this approach exhibits more similarities to the model trained on large data volumes of future tokamak. This approach provides a light, interpretable and few data-required way by aligning features to predict disruption using small data volume fr

关键词： Feature extraction

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Optimized Design of a Thermionic Electron Gun Applied to a High-power FEL Injector

Optimized Design of a Thermionic Electron Gun Applied to a H...

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Electrical engineering (CIYCEE), IEEE China International Youth Conference on

作者： Xiaoyu Peng Tongning Hu Yufei Peng Jidong Long Jianjun Deng Guangyao Feng School of National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei China State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China GUSU Laboratory Suzhou China Suzhou Laboratory Suzhou China Academician of the Chinese Academy of Engineering an Expert of Intense Pulsed Accelerator a Doctoral Supervisor of the Chinese Academy of Engineering Physics and the Chief Engineer of the Institute of Fluid Physics

This paper mainly designs a high-power free electron laser injector system, which has a low-emittance electron gun using a gridded thermionic cathode. The distance between the anode and the radio frequency cavity exit is designed to be as short as possible in the manufacturing level. In the process of optimizing the electron gun, simulation by cell signaling technology is mainly conducted on the effects of the shape, hole spacing, wire size, and thickness of the grid on the electron beam’s emittance, particle passing rate and so on. Therefore, the optimal parameters of the electron gun, especially the structure of the grid and the grid bias voltage, are obtained, generating a uniformly distributed current with current intensity of 0.5 A, the pulse length of 1 ns, and a normalized root mean square emittance of 1.6 mm∙mrad. In order to reduce the increase in emittance caused by the space charge effect in the low energy region, a -50 kV electron gun is connected to a 476 MHz sub-harmonic buncher through a drift section with the solenoid. The optimization in Parmela resulted in excellent longitudinal phase space, beam spot size, and emittance of the electron beam at the injector exit.

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Experimental Study of Fiber Bragg Grating Applied on Quench Detection of HTS Tapes

Experimental Study of Fiber Bragg Grating Applied on Quench ...

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2020 IEEE International Conference on Applied Superconductivity and electromagnetic Devices, ASEMD 2020

作者： Zhou, Kao Ren, Li Shi, Jing Xu, Ying Duan, Pu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781728152158

The quench detection of high temperature superconducting (HTS) tapes based on fiber Bragg grating (FBG) was investigated. It is found that the multi-peak phenomenon of FBG at cryogenic temperature can be eliminated by using epoxy adhesive to fix the FBG. A quench experiment was performed on a 20 cm long HTS tape with voltage taps and FBG. The experimental results show that the FBG quench detection is much faster than the quench voltage signal, which has great significance for the quick quench detection and protection of HTS power devices. © 2020 IEEE.

关键词： Fiber Bragg gratings

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A novel operation principle of air-core pulsed alternators to achieve multiple railgun launches 1

A novel operation principle of air-core pulsed alternators t...

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1st IEEE China International Youth Conference on Electrical engineering, CIYCEE 2020

作者： Yu, Kexun Zhu, Hanting Xie, Xianfei Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan CO430074 China

ISBN: (纸本)9781728196596

The pulsed power supply based on air-core pulsed alternator can output a current up to the megampere level in an extremely short time, with outstanding advantages of high energy density, high power density, and high integration degree. It has been a preferred power source for electromagnetic launch (EML) system. To achieve the required amplitude of the output current pulses, the field current of the alternator is often required to be up to tens of thousands ampere level. Therefore, the self-excitation method is often used to achieve the required field current in very short time. How to maintain high field current after the self-excitation process, is the key technology of the air-core pulsed alternator to achieve multiple railgun projectile launches in short time. However, the operation principles already proposed are only suitable to achieve single railgun projectile launch after the field current is built by self-excitation. If multiple railgun projectile launches are required, multiple self-excitations are required, which will not only require long time, but also causes a large amount of losses generated in the field winding. In this paper, a novel operation principle of the EML system, based on the air-core pulsed alternator, to achieve multiple electromagnetic railgun projectile launches after a self-excitation process is introduced. Based on the operation principle above, the changing trend of the field current is modeled and analyzed. Finally, the entire operation process of the EML system is simulated to verify the feasibility of the proposed operation principle. © 2020 IEEE.

关键词： Rail guns

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