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- 저자 : Wang Xinggui (검색결과 4 건)
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Xinggui Wang,Yingjie Ding,Jinjian Li,Yongji Guo 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.10
Due to the problems of serious circulation current, large switching loss, high harmonic content, unstable voltage, and high engineering cost in existing microgrid structures, a micro-source half-bridge converter series Y-connection-based microgrid (HCSY-MG) is proposed in this paper. On the basis of the equivalent circuit in the system islanding state, the output characteristics of the system and the corresponding influencing factors under both square wave modulation and phase-shifted pulse width modulation (PS-PWM) are analyzed. Under single-cycle square wave modulation, since the DC-side capacitors of some micro-source half-bridge converters are affected by reactive power, which can result in system output voltage fluctuations or even an in-phase imbalanced state, a multi-period cycle modulation strategy is applied to solve this problem. Under the PS-PWM strategy, if the modulation degree and capacitance of the micro-source half-bridge converters are reasonably set, the output voltage of the system can be guaranteed to be in an in-phase equilibrium state. A simulation model and an experimental platform are built to verify the feasibility of the system and the effectiveness of the proposed strategy.
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Yang Weiman,Wang Dongming,Wang Xinggui,Li Xiangyang,Zhang Peng 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.2
The interaction of a controlled series compensator (CSC) with other power electronics and basic power components in a multi-microgrid (MMG) maybe lead to complex resonance problems. In this paper, the frequency domain analysis method and the mode analysis method are combined to analyze the resonance characteristics of the medium-voltage microgrid cluster system under the action of two controllable series compensators, transformer-coupled series compensator (TCSC) and capacitive-coupled series compensator (CCSC). Firstly, based on the equivalent output impedance models of TCSC and CCSC, the equivalent output impedance characteristics of TCSC and CCSC are explored by frequency domain analysis. Secondly, combined with the impedance network model of cluster system, the resonance characteristics of the MMG after separate and together access to these two controllable series compensators at diferent locations are explored by modal analysis method. The results show that the equivalent output impedance of the two couple-type compensators in a certain frequency band is capacitive, and CCSC has a wider capacitive frequency band. Changes in controller parameter selection can afect band range and capacitance degree. The CSC control parameters afect the system resonance frequency and resonance center, and when the grid-connected inverter circuit parameters are diferent, the mode of system resonance will also change. The combination of frequency domain analysis and modal analysis is an efective means to study the resonance stability of microgrid cluster systems.
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Weiman Yang,Jianfeng Gu,Xinggui Wang,Weinian Wang 전력전자학회 2024 JOURNAL OF POWER ELECTRONICS Vol.24 No.6
Aiming to solve the problems of multiple internal power components, high fault probability, high similarity of the fault features of different power components, difficulty of traditional fault diagnosis feature extraction and low accuracy of fault identification in high-voltage multilevel cascaded H-bridge inverters, this paper presents a fault diagnosis method based on an attention-parallel multisource data fusion residual network. First, a parallel residual neural network model is established, and the extracted multilevel three-phase voltage before filtering and the three-phase current waveform after filtering are converted into two-dimensional image data using a wavelet transform. Subsequently, a feature fusion module is integrated into the network structure to adaptively extract features at different network levels. This module locates key features using the attention mechanism. Then, it fuses useful fault information into feature images using the feature fusion mechanism, enhancing the feature representation capability of the network. Finally, the fault features extracted by the feature fusion module undergo the complete convolution operation. The fi nal enhanced features are used as classification features and classified using a softmax layer. Experimental results demonstrate that the proposed method exhibits high fault diagnosisaccuracy and adaptability.
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Zhao Linjie,Yang Mao,Xiao Chengjian,Gong Yu,Ran Guangming,Chen Xiaojun,Li Jiamao,Yue Lei,Chen Chao,Hou Jingwei,Wang Heyi,Long Xinggui,Peng Shuming 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.1
Understanding the tritium release and retention behavior of candidate tritium breeder materials is crucial for breeder blanket design. Recently, a melt spraying process was developed to prepare Li4SiO4 pebbles, which were subsequently subjected to the in-pile tritium production and extraction platform in China Mianyang Research Reactor (CMRR) to investigate their in-situ tritium release behavior and irradiation performance. The results demonstrate that HT is the main tritium release form, and adding hydrogen to the purge gas reduces tritium retention while increasing the HT percent in the purge gas. Post-irradiation experiments reveal that the irradiated pebbles darken in color and their grains swell, but the mechanical properties remain largely unchanged. It is concluded that the tritium residence time of Li4SiO4 made by melt spraying method at 467 ◦C is approximately 23.34 h. High-density Li4SiO4 pebbles exhibit tritium release at relatively low temperatures (<600 ◦C) that is mainly controlled by bulk diffusion. The diffusion coefficient at 525 ◦C and 550 ◦C is 1.19 × 10 11 cm2/s and 5.34 × 10 11 cm2/s, respectively, with corresponding tritium residence times of 21.3 hours and 4.7 hours.
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