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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： He, Wei Huazhong University of Sci. and Tech. State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9781728171494

The inertia control in wind power generation is becoming a necessary trend in the future power system. Thus, the system electromechanical oscillation will be responded by the wind power generation and in turn, it will significantly affect the system electromechanical damping. The different inertia control seemingly has different characteristics and different effect on system damping. In this paper, we use a simplified model to understand the generic damping effect of different inertia control. One typical inertia control method is illustrated to study. This paper aims at helping people to clearly understand and quickly judge the influence of inertia control on system damping. © 2021 IEEE.

关键词： Equations of motion

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Destabilizing effects of edge infernal components on resistive wall modes in advanced tokamak scenarios

Destabilizing effects of edge infernal components on resisti...

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作者： Han, Rui Zhu, Ping Zheng, Linjin Department of Plasma Physics and Fusion Engineering School of Nuclear Science and Technology University of Science and Technology of China Hefei230026 China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States Institute of Fusion Studies University of Texas at Austin AustinTX78712 United States

The stability of the n = 1 resistive wall modes (RWMs) dominated by the pressure-driven infernal components is investigated using the ideal magnetohydrodynamics (MHD) code AEGIS for the advanced tokamak scenarios. Here, n is the toroidal mode number. In the advanced tokamak scenarios, due to the large fraction of bootstrap current contribution, the profile of safety factor q is deeply reversed in magnetic shear in the central core region and locally flattened within the edge pedestal. Consequently, the pressure-driven infernal components develop in the corresponding flat-q regions of both core and edge. However, the edge infernal components dominate the n = 1 RWM structure and lead to lower βN limits for the advanced tokamak scenarios. In the framework of ideal MHD, the edge rotation is found the most critical to the stabilization due to the dominant influence of the edge infernal components, which should be maintained sufficiently large in magnitude and range in order for the rotation alone to fully suppress the n = 1 RWM in typical advanced tokamak scenarios. © 2023 Author(s).

关键词： Safety factor

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Improved Resonant Frequency Tracking Strategy based on Load Parameter Prediction for Linear Oscillatory Machine

Improved Resonant Frequency Tracking Strategy based on Load ...

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Workshop on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

作者： Yifan Gong Yang Cheng Wei Xu Kaiju Liao Jian Ge State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

As the key power part of the linear compressor, the linear oscillatory machine (LOM) has been paid more attention by both academia and industry recently for its compact size, high efficiency, low vibration, etc. In practice, the efficiency of LOM is significantly impacted by the changes in load parameters, of which the best working point can be tracked by the resonant frequency tracking control. However, the traditional resonant frequency tracking control with the idea of stroke-current phase suffers some serious problems, like slow tracking speed, low accuracy, large current peak during starting, fluctuate amplitude of piston, and so on. In this paper, a Kalman filter for the mechanical system of LOM is proposed, which avoids the impact of environmental noise and obtains the observed values of load parameters. On this basis, a parameter correction scheme based on gradient descent method is proposed. By calculating the corresponding gradient matrix, iterative adjustment and correction of the covariance matrix in the Kalman filter are realized. The combination of the two realizes the load parameter prediction of the LOM, and on this basis, completes the frequency control of the LOM. Comprehensive simulation results have fully demonstrated the advantages of proposed control strategy compared to those of traditional methods.

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Capacity estimation based on the aging characteristics analysis of Liquid metal batteries

Capacity estimation based on the aging characteristics analy...

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International Conference on Power Electronics (ICPE)

作者： Qionglin Shi Haomiao Li Kangli Wang Kai Jiang State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology China Engineering Research Center of Power Safety and Efficiency Huazhong University of Science and Technology China

The liquid metal battery is a new energy storage technology that is gaining increasing attention due to its high safety and long life. Accurate capacity estimation is crucial for health diagnosis and pack management, providing a strong guarantee of long-term stable operation for energy systems. However, owing to the lack of aging analysis traditional methods are difficult to improve the precision in the situation of unpredictable disturbances or fluctuations, such as capacity plunge. This paper proposes a capacity estimation method based on aging features by combining machine learning and filter algorithms, this method can provide an accurate prediction even the LMB is subject to capacity plunge. First, the aging features are extracted using only a tenth of the whole information from the discharge curve and increment capacity (IC) curve. Next, the Long Short Term Memory (LSTM) network is employed to establish the state-space representation between the aging feature and the capacity. The particle filter (PF) is then combined with the state-space representation to predict the capacity. Finally, aging tests are conducted to validate the precision and effectiveness of the proposed hybrid method. These results show that the proposed method can provide robustness as well as accurate capacity prediction.

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An Improved Calculation Method for AC Losses of 30 MJ/5 MW SMES

An Improved Calculation Method for AC Losses of 30 MJ/5 MW S...

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International Conference on Applied Superconductivity and electromagnetic Devices, ASEMD

作者： Yifeng Qiu Li Ren Ying Xu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

The toroidal D-shaped high-temperature super-conducting (HTS) magnet structure offers several advantages, such as low leakage magnetic field and vertical magnetic field on the tapes, and excellent mechanical properties characterized by pure tensile electromagnetic stress. As a result, it finds wide application in large-scale magnetic, including superconducting magnetic energy storage (SMES) and magnetic confinement fusion (MCF) devices. However, the highly asymmetric three-dimensional structure impose challenges in numerical modeling and electromagnetic computations, leading to difficulties in modeling, low computational efficiency, and even computational infeasibility. The "dimension reduction inversion" method is an innovative approach for electromagnetic calculations in toroidal magnets. this paper improved upon this method and applied it to the toroidal D-shaped structure, specifically calculating the electromagnetic field and AC loss of 30MJ/5MW liquid hydrogen superconducting composite energy storage (LIQHYSMES) magnet. This research provides a feasible approach for electromagnetic computations in large-scale toroidal D-shaped HTS magnets.

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Effects of deformation twins on microstructure evolution,mechanical properties and corrosion behaviors in magnesium alloys-A review

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Journal of Magnesium and Alloys 2022年第9期10卷 2334-2353页

作者： Lianhui Li Wenhong Liu Fugang Qi Di Wu Zhiqiang Zhang Key Lab of Electromagnetic Processing of Materials Ministry of EducationNortheastern UniversityShenyang 110819China Engineering Research Center of Advanced Materials Preparing Technology Ministry of EducationNortheastern UniversityShenyang 110819China College of Information Science and Engineering Northeastern UniversityShenyang 110819China School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

Due to lattice reorientation,grain segmentation,induced recrystallization,twins play a very important role in regulating texture,refining grains,improving mechanical properties and corrosion resistance,and has received more extensive *** studies have shown that{10-12}<10-11>tensile twins(TTWs)are easily activated in large quantities due to the lower critical resolve shear stresses(CRSS).Introduction of TTWs under uniaxial compression improved the strength,ductility,and formability of magnesium(Mg)***,TTWs produced by multi-directional impact forging(MDIF)can optimize the microstructure by dividing grains and promoting recrystallization,resulting in significant improvement of mechanical ***{10-11}<10-12>compressive twins(CTWs)and{10-11}-{10-12}double twins(DTWs)can promote dynamic recrystallization(DRX),they are also favorable nucleation sites for *** addition,the type and volume fraction of twins can affect the corrosion resistance,and they also play different roles in the corrosion process of different Mg *** have shown great potential for improving structure and properties,but a comprehensive and critical discussion of twins in Mg alloys is still ***,based on previous studies,this article reviews the common types and variants of twins in Mg alloys,influencing factors,and their effects on the microstructure,mechanical properties and corrosion *** addition,some interesting ideas are being proposed for further research.

关键词： Twins Mg alloy Microstructure Mechanical properties Corrosion resistance

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Optimization Method for Minimum Mass of Permanent Magnet Excited HIA with Air-Gap Winding

Optimization Method for Minimum Mass of Permanent Magnet Exc...

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Power Science and technology (ICPST), IEEE International Conference on

作者： Longjian Liu Kexun Yu Xianfei Xie Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

This paper proposes the optimization method for the minimum mass of permanent magnet (PM) excited homopolar inductor alternator (HIA) with air-gap winding used for high-speed driving system. The calculation results show that there is an optimal value for shell diameter to make the mass to be smallest. A 1 MW at 22000 rpm PM excited HIA is designed. The analytical results are verified by the FEM simulations. The losses, temperature rise, rotor stress and modal of the PM excited HIA are also analyzed. The calculation results show that the solid rotor eddy-current losses and the temperature rise of PM excited HIA are acceptable. Also the rotor strength is adequate, and the rotor system is a stiffness rotor, and it can safely operate.

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A High-Temperature Superconducting Homopolar Inductor Alternator with Slotless Stator Core for High-Power Pulsed Power Supply

A High-Temperature Superconducting Homopolar Inductor Altern...

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Power Science and technology (ICPST), IEEE International Conference on

Nowadays, with the development of laser weapons, the primary power supply of laser weapons puts forward more and more high demand for its performance. The pulsed power supply based on conventional homopolar inductor alternator (HIA) cannot meet the requirements any more. In order to improve the power density and efficiency, this paper proposes applying the high-temperature superconducting (HTS) HIA with slotless stator core to this power supply. In this paper, the design considerations of it are presented, and the comparisons between the two power supplies are discussed. The calculation results show that the power supply based on HTS machine has much larger power density than the conventional HIA, and the efficiency is also larger than the conventional HIA. This can improve the performance of laser weapons dramatically.

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Machine learning in polymer informatics

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InfoMat 2021年第4期3卷 353-361页

作者： Wuxin Sha Yan Li Shun Tang Jie Tian Yuming Zhao Yaqing Guo Weixin Zhang Xinfang Zhang Songfeng Lu Yuan-Cheng Cao Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina Shenzhen Power Supply Col.Ltd. ShenzhenChina School of Computer Science and Technology Huazhong University of Science and TechnologyWuhanChina

Polymers have been widely used in energy storage,construction,medicine,aerospace,and so ***,the complexity of chemical composition and morphology of polymers has brought challenges to their *** to the integration of machine leaming algorithms and large data resources,the data-driven methods have opened up a new road for the development of poly-mer science and *** emerging polymer informatics attempts to accelerate the performance prediction and process optimization of new poly-mers by using machine learning models based on reliable *** the grad-ual supplement of currently available databases,the emergence of new databases and the continuous improvement of machine learning algorithms,the research paradigm of polymer informatics will be more efficient and widely *** on these points,this paper reviews the development trends of machine learning assisted polymer informatics and provides a simple introduc-tion for researchers in materials,artificial intelligence,and other fields.

关键词： polymer learning artificial

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SoC Balancing Strategy Accounting for Transient Current Equalization under Sudden System State Changes Based on Adaptive Droop Control

SoC Balancing Strategy Accounting for Transient Current Equa...

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Power and Renewable Energy engineering (PREE), International Conference on

作者： Shankang Cao Fanrong Wei Qiyuan Huang Kaijie Wang Xiangning Lin Lufan Zhao Shizhe Zhang State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan Hubei China University of Cincinnati Joint Co-op Institute Chongqing University Chongqing China

ISBN: (数字)9798350366808

ISBN: (纸本)9798350366815

DC microgrid is often equipped with energy storage (ES) to eliminate the random output of renewable energy sources and load fluctuation. Due to the difference in line impedance among ES, the sudden change in common load impedance(CLI) or the connection of converter local load (CLL) will affect the transient current equalization accuracy of ESs, leading to the deterioration in the SoC balancing. In this paper, the SoC and output current of ES are both associated with the droop coefficient, whose weights are adaptively allocated according to the operating state of the system. preventing the deterioration of the transient current equalization accuracy due to the sudden change of the system state. Secondary regulation is further adopted to eliminate voltage deviation caused by droop control. Finally, the overall control strategy is analyzed in terms of stability to ensure its feasibility. The correctness and effectiveness of the proposed strategy are verified by Matlab/Simulink simulation comparison.

关键词： Renewable energy sources Accuracy Adaptive systems Translation Microgrids Adaptive equalizers Stability analysis Impedance Transient analysis Voltage control

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