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- 저자 : Xia Xiangyang (검색결과 4 건)
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Modular multilevel converter predictive control strategy based on energy balance
Xia, Xiangyang,Xu, Lei,Zhao, Xinxin,Zeng, Xiaoyong,Zhang, Jing,He, Yedan,Yi, Haigan The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.5
In MMC-HVDC (modular multilevel converter-based high-voltage direct current) applications, conventional control methods have defects such as complicated control and difficulty in controlling the internal energy of the converter. To ensure the safe and stable operation of an MMC-HVDC system, the problem of uneven internal energy distribution and increased fluctuations in the modular multilevel converter under asymmetrical network voltage conditions must be addressed. This paper has designed, a novel model predictive control (MPC) for MMC-HVDC applications. Through the proposed strategy, the switching states of all the MMC units can be optimized, which eliminates the circulating currents and achieves a voltage balance of the capacitor by redundant switching states. Moreover, an energy control circuit is established to adjust the DC bus power distribution in the MMC three-phase bridge arm. Thus, the symmetrical ac-side current can be realized, and the MMC internal energy imbalance caused by the transient process of the system can be avoided. Finally, the proposed novel predictive control strategy is tested via a case study. The obtained simulation and experimental results verify the effectiveness of the proposed control strategy.
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Wang Jianle,Xia Dongdong,Lin Yan,Xu Wenbin,Wu Yaosen,Chen Jiaoxiang,Chu Junjie,Shen Panyang,Weng Sheji,Wang Xiangyang,Shen Lifeng,Fan Shunwu,Shen Shuying 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Low back pain, triggered by intervertebral disc degeneration (IVDD), is one of the most common causes of disability and financial expenditure worldwide. However, except for surgical interventions, effective medical treatment to prevent the progression of IVDD is lacking. This study aimed to investigate the effects of circKIF18A, a novel circRNA, on IVDD progression and to explore its underlying mechanism in IVDD. In this study, we found that oxidative stress was positively correlated with nucleus pulposus cell (NPC) senescence in IVDD and that circKIF18A was downregulated in IVDD and attenuated senescent phenotypes such as cell cycle arrest and extracellular matrix degradation in NPCs. Mechanistically, circKIF18A competitively suppressed ubiquitin-mediated proteasomal degradation of MCM7, and the protective effects of circKIF18A on NPCs were partially mediated by MCM7 under oxidative stress. Intradiscal injection of adenoviral circKIF18A ameliorated IVDD in a rat model. This study revealed that circKIF18A regulates NPC degeneration by stabilizing MCM7 and identified a novel signaling pathway, the circKIF18A-MCM7 axis, for anti-senescence molecular therapy in IVDD.
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Yue Jiahui,Xia Xiangyang,Zhang Yuan,Xia Tian 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
In order to enrich the comprehensive estimation methods for the balance of battery clusters and the aging degree of cells for lithium-ion energy storage power station, this paper proposes a state-of-health estimation and prediction method for the energy storage power station of lithium-ion battery based on information entropy of characteristic data. This method optimizes and processes attribute data based on specific running segments to form a characteristic data set, and adopts the information entropy value to reflect the orderliness of characteristic data to analyze the balance of battery clusters and the aging degree of cells in it. At the same time, the BP neural network is used to predict the information entropy value to achieve short-term prediction of the station’s health state. The feasibility and effectiveness of the health state estimation and prediction method proposed in this paper are demonstrated using actual data collected from the lithium-ion battery testing platform and the energy storage power station.
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Linxiao Chen,Wei Xia,Jinxing Song,Mengqi Wu,Zhizhen Xu,Xiangyang Hu,Wenqing Zhang 한국식물학회 2020 Journal of Plant Biology Vol.63 No.4
Due to global warming, high temperature has become the main abiotic stress affecting plant growth worldwide. LysM-containing receptor-like kinase 4 (LYK4) is the receptor for chitin, and ERECTA(ER) is a key factor in plant tolerance to high temperature. In this study, we constructed a chitin-induced chimeric LYK4-ER gene, in which the extracellular region and transmembrane domain of the LYK4 gene are fused with the intracellular region of the ER gene. Colony PCR, RT-PCR and western blot analyses of LYK4-ER transcription in plants, confirmed that the LYK4-ER gene was successfully constructed and transferred into Arabidopsis. The LYK4-ER gene localized to the cytomembrane and cytoplasm in vivo because of the binding properties of the transmembrane domain of the LYK4-ER gene to the cell membrane. The transgenic plants showed a higher germination rate and germination index as well as a shorter mean germination time than the wild-type plants, indicating that the LYK4-ER gene increases the heat tolerance of Arabidopsis. The lower H2O2 content and relative electrolytic leakage of the transgenic plants showed that the status of these plants under heat stress was improved. UPLC-MS/MS was used to analyze the phytohormones content, which suggested that the transgenic plants exhibited improved heat tolerance through jasmonic acid signal transduction pathways.
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