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RISS 인기검색어
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- 저자 : Xueqian Zhao (검색결과 3 건)
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Ren, Zhouyang,Yan, Wei,Zhao, Xia,Zhao, Xueqian,Yu, Juan The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
This paper presents a probabilistic power flow (PPF) analysis method for distribution network incorporating the randomness and correlation of photovoltaic (PV) generation. Based on the multivariate kernel density estimation theory, the probabilistic model of PV generation is proposed without any assumption of theoretical parametric distribution, which can accurately capture not only the randomness but also the correlation of PV resources at adjacent locations. The PPF method is developed by combining the proposed PV model and Monte Carlo technique to evaluate the influence of the randomness and correlation of PV generation on the performance of distribution networks. The historical power output data of three neighboring PV generators in Oregon, USA, and 34-bus/69-bus radial distribution networks are used to demonstrate the correctness, effectiveness, and application of the proposed PV model and PPF method.
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Ya Wen,Ruifang Zhao,Xueqian Yin,Yidong Shi,Haojun Fan,Yi Zhou,Lin Tang 한국섬유공학회 2020 Fibers and polymers Vol.21 No.1
Antibacterial and antioxidant properties exert an indispensable effect on biomedical and packaging materialswhich are mainly made of fiber-based fabrics. The current research illustrates a novel type of composite fiber which wasprepared from thermoplastic polyurethane (PU), polyacrylonitrile (PAN) and tea polyphenols (TP) through wet-spinningtechnology. The PU-PAN mass ratio was optimized upon the mechanical property; TP was incorporated into the compositefiber with different contents. The obtained fibers were fully characterized in terms of mechanical, thermal, morphologicalproperties as well as surface wettability. Additionally, in vitro TP release, antioxidant and antibacterial activity of suchcomposite fibers before and after washing were under investigation systematically and orderly. The findings showed that TPloadedcomposite fibers with an average diameter around 120 μm performed a sustained TP release behavior and desirablecytocompatibility. According to the capacity on scavenging 2, 2-diphenyl-1-picrylhydrazyl (DPPH) free radicals, theobservation of scavenging ratio reaching to 97 % proved the excellent antioxidant performance. Furthermore, the idealantibacterial activity against Gram-negative E. coli and Gram-positive S. aureus was also demonstrated. Collectively, thisstudy provides a facile strategy to design and prepare a novel type of composite fibers and fabrics, which may be put intoapplication as wound dressing and tissue conduit.
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Zhouyang Ren,Wei Yan,Xia Zhao,Xueqian Zhao,Juan Yu 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
This paper presents a probabilistic power flow (PPF) analysis method for distribution network incorporating the randomness and correlation of photovoltaic (PV) generation. Based on the multivariate kernel density estimation theory, the probabilistic model of PV generation is proposed without any assumption of theoretical parametric distribution, which can accurately capture not only the randomness but also the correlation of PV resources at adjacent locations. The PPF method is developed by combining the proposed PV model and Monte Carlo technique to evaluate the influence of the randomness and correlation of PV generation on the performance of distribution networks. The historical power output data of three neighboring PV generators in Oregon, USA, and 34-bus/69-bus radial distribution networks are used to demonstrate the correctness, effectiveness, and application of the proposed PV model and PPF method.
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