In this paper, the operation principles and basic properties of the axial permanent magnet hysteresis damper (APHD) are introduced. First, the double-side APHD (DSAPHD) is taken as an example to analyze the magnetic f...
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The high penetration of variable renewable energy sources (RES) in the power system poses substantial risks to the operation of the electricity power market. How to ensure the stability and economy of power market ope...
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In recent years, plasma technology under atmospheric pressure has been widely used, and it is urgent to study the mechanism of plasma microcosmic particles. With the development of computer technology, it may be a pro...
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In this work,the evolution of a highly unstable m=1 resistive tearing mode,leading to plasmoid formation in a Harris sheet,is studied in the framework of full MHD model using the Non-Ideal Magnetohydrodynamics with Ro...
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In this work,the evolution of a highly unstable m=1 resistive tearing mode,leading to plasmoid formation in a Harris sheet,is studied in the framework of full MHD model using the Non-Ideal Magnetohydrodynamics with Rotation,Open Discussion *** the initial nonlinear growth of the primary m=1 island,the X-point develops into a secondary elongated current sheet that eventually breaks into *** distinctive viscous regimes are found for the plasmoid formation and *** the low viscosity regime(i.e.P_(r)■1),the plasmoid width increases sharply with viscosity,whereas in the viscosity dominant regime(i.e.P_(r)■1),the plasmoid size gradually decreases with *** a finding quantifies the role of viscosity in modulating the plasmoid formation process through its effects on the plasma flow and the reconnection itself.
Deployment of offshore wind power is growing from around 6 GW in 2019 towards over 200 GW in 2030 in China. Number of wind turbines in an offshore wind project is increasing from 165 in the largest project worldwide i...
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Deployment of offshore wind power is growing from around 6 GW in 2019 towards over 200 GW in 2030 in China. Number of wind turbines in an offshore wind project is increasing from 165 in the largest project worldwide in 2022 towards over 1400 in Guangdong, China in 2030. Maintenance, which accounts for 33% of the life-cycle expenses, is primarily subject to ambient restrictions. With the increased turbine number in large-scale offshore wind farms, their availability will be further reduced. Optimizing the size and mix of maintenance fleets presents a significant opportunity to improve the availability of large-scale offshore wind farms. However, rigorous quantitative analyses of its effectiveness based on real-world project data are lacking. Additionally, suitable models for the maintenance optimization of large-scale offshore wind farms are also scarce, since existing models have overlooked turbine-level deviation and hourly-level variation, which usually leads to inevitable simplification errors. Here, an hourly-level analytical maintenance optimization model targeted at the large number of wind turbines is proposed to optimize maintenance performance. The model optimizes hourly maintenance decisions for each turbine and vessel individually, distinguishing their individual locations and states. The model is applied to evaluate potential benefits from maintenance fleet transformations in Eastern Guangdong, where about 5500 turbines are planned to be in operation by 2030. The effectiveness of enlarged fleet size, accelerated vessel cruise speed, expanded vessel capacity and enhanced vessel wave height resistance is analyzed. Our study reveals that coordinated improvement in vessel wave height resistance and vessel capacity by only 0.5m and 25%, respectively, could elevate large-scale offshore wind farm availability by over 30%. In contrast, enlarging the vessel fleet size by over 133% and increasing the vessel cruise speed by almost 82% could only raise it by around
An integrated six-switch Buck-Boost and CLLLC cascaded converter (ISSBB-CLLLC) is proposed in this paper, which is suitable for high-voltage applications. To realize the flying capacitor voltage balance, current rippl...
An integrated six-switch Buck-Boost and CLLLC cascaded converter (ISSBB-CLLLC) is proposed in this paper, which is suitable for high-voltage applications. To realize the flying capacitor voltage balance, current ripple optimization and output voltage regulation, a model of the converter is established, and a control strategy is proposed. Firstly, the balance of flying capacitor voltage in six-switch Buck-Boost circuit is analyzed, and a voltage balance control method (FCV-BCM) is proposed, which is implemented by alternatively using the redundant switching states. Next, a model of the ISSBB-CLLLC is derived and a dual closed-loop control based on phase shift control (DLC-PSC) is proposed to regulate the output voltage, which can further optimize the current ripple of inductor in six-switch Buck-Boost circuit as well. Finally, the experimental results are given to verify the effectiveness of the control strategies.
electromagnetic wiping has the advantages of non-contact and easy control compared to traditional gas wiping. However, electromagnetic wiping devices available are primarily designed for cylindrical workpieces such as...
electromagnetic wiping has the advantages of non-contact and easy control compared to traditional gas wiping. However, electromagnetic wiping devices available are primarily designed for cylindrical workpieces such as steel wire and pipes, leading to low efficiency when applied to steel strips. This paper presents a three-phase electromagnetic wiping device for hot-dip galvanizing of steel strips. Based on the traveling magnetic field of the linear motor, the device allows precise control over coating thickness by adjusting the frequency and amplitude of the current. A Multiphysics model of the electromagnetic field and fluid field is established to study the body force of the coating in a hot-dip galvanizing process. Simulation results show that the proposed wiping device can effectively remove the excess zinc liquid and reduce coating thickness.
Bunch length is one of the key longitudinal parameters in beam diagnostics, a bunch length measurement system is urgently needed to monitor the variation of bunch length in HUST-FEL. Based on a thorough investigation,...
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In this article, a double closed-loop self-regulating active gate driver (DCSAGD) for power device is proposed. The high-bandwidth peak detection circuit based on operational trans-conductance amplifier realize the ac...
In this article, a double closed-loop self-regulating active gate driver (DCSAGD) for power device is proposed. The high-bandwidth peak detection circuit based on operational trans-conductance amplifier realize the accurate sampling of v DS_peak in the ns-level turn-off process. The closed-loop control strategy is realized at low cost by all analog circuit. The experimental results show that the system can accurately control v DS_peak at 500V/40A working condition under two reference voltage of 700V and 730V.
Liquid metal battery (LMB) exhibits the potential to appear as a cost-effective solution for grid-scale energy storage to improve the stability and flexibility of new power systems. In order to improve the consistency...
Liquid metal battery (LMB) exhibits the potential to appear as a cost-effective solution for grid-scale energy storage to improve the stability and flexibility of new power systems. In order to improve the consistency and reliability of liquid metal battery packs, a novel classification method is proposed in this paper. Firstly, a feature vector for battery screening is established from the key influencing factors of battery pack performance. Secondly, the density-based spatial clustering of applications with noise (DBSCAN) algorithm whose input parameters have been optimized by the elbow method is used to detect outliers among sample data. Then, the remaining data are screened by the Mean shift algorithm and the Davies-Bouldin Index (DBI) as the optimized objective. Finally, an experimental of 216 laboratory-made LMBs with the proposed method is presented and the clustering optimization results verify that the proposed method can automatically determine the number of clustering and improve the accuracy of clustering with outlier detection.
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