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检索条件"机构=State Key Laboratory of Advance Electromagnetic Engineering and Technology"

共 3514 条记录，以下是151-160 订阅

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Modified APC Strategy for Doubly Salient Electro-Magnetic Generator with Controlled Rectifier Considering Dramatic Load Changes 8

Modified APC Strategy for Doubly Salient Electro-Magnetic Ge...

引用

8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Lei, Zhenyu Wang, Shuanghong Li, Zixin Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350328813

The output voltage of the traditional diode-rectified doubly salient electro-magnetic generator (DSEG) system will change significantly when the load current changes rapidly. Besides, it's difficult to regulate the output voltage by adjusting the field current because of the large time constant. In order to solve the problem, a modified angular position control (APC) strategy based on the controllable rectifier DSEG system is proposed. Using the back propagation neural network (BPNN) to predict proper switching angles according to the speed and field current, the improved APC strategy is helpful to slow down the charge and discharge process of the capacitor and greatly reduced the output voltage fluctuation. Finally, the effectiveness of the proposed strategy is proved by simulations on a 6/4 pole DSEG with controlled rectifier. © 2023 IEEE.

关键词： APC BPNN controlled rectifier DSEG voltage control strategy

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Magnetic Field Effects on Water Electrolysis Performance on a Microfluidic Platform

Magnetic Field Effects on Water Electrolysis Performance on ...

引用

2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Li, Hao Lu, Ang Dong, Tianshu Huang, Danji Song, Chaolong Wen, Jinyu Fang, Jiakun Pan, Yuan State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350322699

With the rapid development of global low-carbon energy, water electrolysis for hydrogen production attracts significant attention as a crucial energy conversion method. For industrial electrolysis setups, the large-scale application is limited by the issue of low efficiency. To address this issue, one promising approach is to regulate the electrolysis process by imposing an external magnetic field. However, current relevant studies usually focus on static electrolysis systems within beaker-like containers, ignoring the narrow flow channel structure and the circulating flow of electrolyte in industrial electrolyzers. Therefore, an electrolyzer using a microfluidic platform as a phantom is established. Based on the platform, this paper investigates the effects of magnetic field under different magnetic flux densities, electrolysis voltages and electrolyte flow rates. The results indicate that the magnetic field contributes to an enhancement in current density and the increase in current density shows a trend of first increasing and then decreasing with the increase of voltage or flow rate within a certain range. Moreover, The improvement increases with the increment in magnetic flux density. © 2023 IEEE.

关键词： Hydrogen Magnetic field Microfluidic system Water electrolysis

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Scenario Generation of Renewable Energy Based on Improved Diffusion Model

Scenario Generation of Renewable Energy Based on Improved Di...

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2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Li, Sheng Xu, Chuanyu Wei, Lishen Li, Ruijie Ai, Xiaomeng State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350322699

The large-scale integration of renewable energy into the power system has resulted in increased complexity of its uncertainty. This complexity arises from the rapidly increased renewable energy sites and the intricate spatial-temporal correlations involved. To offer a more precise description of the uncertainty of renewable energy, a scenario generation method based on an improved diffusion model is proposed. This approach can autonomously learn the probability distribution and spatiotemporal correlation of the training data. It utilizes a U-Net model to progressively denoise noise and iteratively generate renewable energy scenarios. Experiments using historical power data from five wind farms and five PV plants in Jiangsu Province show that the training process of the proposed method is more stable compared to existing methods. Moreover, the proposed method achieves higher accuracy in fitting probability distribution and captures the spatial correlation between multiple sites more accurately. © 2023 IEEE.

关键词： diffusion Model renewable energy scenario generation unsupervised learning

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A DC-Link Current Estimation Method for VSI-Fed IPMSM Drive System Considering Dead-Time Effect 26

A DC-Link Current Estimation Method for VSI-Fed IPMSM Drive ...

引用

26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Yuan, Bowen Wang, Shuanghong Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350317589

The dc-link current is an important parameter in voltage source inverter (VSI)-fed Interior Permanent Magnet Synchronous Motor (IPMSM) system. On the one hand, the average value of dc-link current reflects the power level of dc-side and plays a crucial part in system protection, power management and efficiency optimization. On the other hand, using estimation method instead of dc-link current sensor to obtain the value of dc-link current can reduce system cost and increase system reliability. However, in practical application, some non-ideal factors such as digital delay, dead time effect and current sampling error caused by low carrier ratio may affect the accuracy of estimation. Therefore, an accurate dc-link current estimation method for VSI-fed IPMSM drive system with space-vector pulse width modulation (SVPWM) is proposed in this paper. Both simulation and experimental results of proposed estimation method are presented to verify the feasibility and accuracy of the proposed estimation method. © 2023 IEEE.

关键词： Permanent magnets

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Research on Voltage Stabilizing System of Switched Reluctance Motor Based on Fuzzy PID Control 27

Research on Voltage Stabilizing System of Switched Reluctanc...

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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Chang, Tong Wang, Shuanghong Li, Zixin School of Electrical and Electronic Engineering Huazhong University of Science and Technology The State Key Laboratory of Advanced Electromagnetic Technology Wuhan430074 China

ISBN: (纸本)9784886864406

This paper proposes a control strategy based on fuzzy PID control of Switched Reluctance Motor Generator (SRMG) in response to the voltage fluctuation issues caused by load variations in switched reluctance motor system. This strategy is constructed based on the fundamental principles of closed-loop control and fuzzy control theory, incorporating a parameter-adaptive fuzzy PID controller and system model. Initially, a switched reluctance motor system was constructed to obtain voltage fluctuation data. Subsequently, aiming for voltage stabilization, a control algorithm for SRMG under constant speed mode was designed using the fuzzy PID controller, adopting a dual closed-loop control strategy for speed and current. Finally, compared with conventional PID control, the fuzzy PID controller was shown to effectively improve response speed, reduce voltage overshoot, and decrease voltage fluctuation time, demonstrating superior voltage stabilization performance. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Three term control systems

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Modulation Strategy for 2-SiC Hybrid Devices ANPC-DAB Converter Through Dual-Path Zero-state 10

Modulation Strategy for 2-SiC Hybrid Devices ANPC-DAB Conver...

引用

10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Zhao, Mengyuan Zhang, Yu Chen, Yangfan Li, Zhuolan University of Science and Technology State Key Laboratory of Advanced Electromagnetic School of Electrical and Electronic Engineering Huazhong Wuhan China

ISBN: (纸本)9798350351330

The active-neutral-point-clamped three-level dual active bridge (ANPC-DAB) converter is a prominent topology for medium voltage applications. To realize high cost-efficiency, the hybrid utilization of Si and SiC devices has been an attractive approach. In this paper, a 2-SiC hybrid devices ANPC-DAB converter is studied, which optimally utilizes both Si IGBTs and SiC MOSFETs to achieve the tradeoff between performance and cost. A modulation strategy through dual-path zero-state (DPZS) is proposed to achieve zero-voltage switching (ZVS) turn-on of all switches when combining proper current conditions and optimally balance the switching losses among the switches. Meanwhile, the presented method achieves small dead zones and short commutation loops during switching process. Finally, the experimental results are given to verify the effectiveness of the modulation strategy. © 2024 IEEE.

关键词： Silicon carbide

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Signature Identification of False Data Injection Attacks Based on Deep Vision Networks

Signature Identification of False Data Injection Attacks Bas...

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2024 IEEE China International Youth Conference on Electrical engineering, CIYCEE 2024

作者： He, Yixuan Wang, Jingyu Shi, Dongyuan School of Electrical and Electronic Engineering Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology Wuhan430074 China

ISBN: (纸本)9798331530174

The increasing integration of cyber-physical systems has markedly amplified the vulnerability of power systems to False Data Injection Attacks (FDIAs), posing significant threats to their security and reliability. FDIAs can emulate various power system dynamics, each with distinct objectives, potentially leading to incorrect decisions by operators or causing damage that may go undetected initially. The impact of these attacks often hinges on their specific signatures, which reflect the temporal characteristics of the injected data waveforms. Therefore, precise classification of these attack signatures is essential for predicting their potential effects and devising effective countermeasures. This paper addresses this challenge by proposing the use of the VGG16 network, a deep learning model commonly utilized in computer vision, to classify the attack signatures. Leveraging VGG16's ability to identify complex patterns in data, the pro-posed method offers a robust solution for distinguishing between different types of FDIAs. Experimental validation on the IEEE 39-bus system confirms the effectiveness of this approach in improving the detection and classification of FDIAs. © 2024 IEEE.

关键词： Cyber attacks

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Dynamic Evolution of CS and Its Effects on Charged Particles in Vacuum Arc 7

Dynamic Evolution of CS and Its Effects on Charged Particles...

引用

7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Liu, Shan Yuan, Zhao Liu, Liming Chen, Lixue Ya, Penglong Pan, Yuan Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350345094

CS emits plasma and metal vapor towards the arc gap, which influences the interruption of VCB. In order to analyze the dynamic evolution of CS and its effect on charged particles, the observation experiments of CS and charged particles were carried out. Using cup-shaped electrode of AMF, the dynamic pictures of CS in the diffusion is shot by high-speed camera, and the distribution of CS is observed. The CS is identify by Matlab software, and the diameter, diffusion rate and quantity of the CS are obtained. The dynamic evolution of them with different breaking conditions is analyzed. The characteristic parameters of charged particles were diagnosed by colorimetric method. The 2D spatial distribution was obtained. The results indicate that the change of the quantity of CS with time is consistent with that of current waveform. The rise in the quantity of CS is related to the diffusion and split of the spots. It is observed that the evolution of CS on the electrode is not completely uniform. At the more radial outward position of the electrodes, the distance between CS is greater. The diameter and diffusion rate of CS are not constant. It is observed that charged particles density decays and fluctuates radially, and the temperature increases along the radial direction. This is related to the evolution of CS. © 2023 IEEE.

关键词： High speed cameras

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Analysis and Suppression of Harmonic Oscillation Caused by Active Power Filter with Magnetic Flux Compensation 3

Analysis and Suppression of Harmonic Oscillation Caused by A...

引用

3rd IEEE International Conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Pan, Wenhao Li, Dayi Yang, Xiao Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9798350398410

The active power filter with magnetic flux compensation can suppress the influence of background harmonics and load harmonics by increasing the harmonic impedance of the system. Flux compensated adjustable impedance is the key part of active power filter, which can increase the harmonic impedance without affecting the fundamental impedance. With the traditional compensation method, the adjustable impedance contains a negative resistance component in the frequency band between the fundamental and the harmonics, which may interact with the load impedance and cause the system resonance. After establishing a general mathematical model of adjustable impedance and system equivalent admittance, this paper analyzes the resonance mechanism, oscillation characteristics and key influencing factors of the harmonic oscillation. The damping suppression strategy is proposed to successfully eliminate the resonance while maintaining good harmonic suppression performance. The correctness of the analysis and the effectiveness of the suppression method are verified by simulation and experiment. © 2023 IEEE.

关键词： Damping

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Research on the Early Warning Method of Thermal Runaway of Lithium Battery Based on Strain Detection of Explosion-Proof Valve 18th

Research on the Early Warning Method of Thermal Runaway of L...

引用

18th Annual Conference of China Electrotechnical Society, ACCES 2023

作者： Luo, Hangyu Cai, Tao Yuan, Aote He, Song State Key Laboratory of Strong Electromagnetic Engineering and New Technology Huazhong University of Science and Technology Hubei Province Wuhan430074 China

ISBN: (纸本)9789819710638

Overcharging and runaway of lithium batteries is a highly challenging safety issue in lithium battery energy storage systems. Choosing appropriate early warning signals and appropriate warning schemes is an important direction to solve this problem. This research proposes a battery overcharge warning scheme based on the hard case lithium battery explosion proof valve Strain gauge. Starting from the external strain mechanism of the lithium battery, the strain change of the lithium battery explosion proof valve under normal conditions and overcharge is studied. Based on the comparison of the two conditions, an online warning scheme using sliding window and data standard deviation is proposed. The experimental results show that: (1) under normal charging and discharging conditions, the strain of the safety valve of the lithium battery will monotonically increase with the increase of SOC and battery temperature;(2) Under overcharging conditions, the inflection point of the strain change of the explosion-proof valve occurs earlier than the characteristic gas, at most about 600 s earlier;(3) The online warning method using sliding windows and data standard deviation can advance the warning of characteristic gases by about 500 s and improve the generalization ability of the method. This study proposes a cheap and reliable early warning scheme for lithium battery energy storage systems, greatly improving the safety of battery systems. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Digital storage

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