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      • SCOPUSKCI등재

        Dynamic Thermal Rating of Overhead Transmission Lines Based on GRAPES Numerical Weather Forecast

        Yan, Hongbo,Wang, Yanling,Zhou, Xiaofeng,Liang, Likai,Yin, Zhijun,Wang, Wei Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.4

        Dynamic thermal rating technology can effectively improve the thermal load capacity of transmission lines. However, its availability is limited by the quantity and high cost of the hardware facilities. This paper proposes a new dynamic thermal rating technology based on global/regional assimilation and prediction system (GRAPES) and geographic information system (GIS). The paper will also explore the method of obtaining any point meteorological data along the transmission line by using GRAPES and GIS, and provide the strategy of extracting and decoding meteorological data. In this paper, the accuracy of numerical weather prediction was verified from the perspective of time and space. Also, the 750-kV transmission line in Shaanxi Province is considered as an example to analyze. The results of the study indicate that dynamic thermal rating based on GRAPES and GIS can fully excavate the line power potential without additional cost on hardware, which saves a lot of investment.

      • KCI등재

        Metagenomics analysis of the gut microbiome in healthy and bacterial pneumonia forest musk deer

        Wei Zhao,Ziwei Ren,Yan Luo,Jianguo Cheng,Jie Wang,Yin Wang,Zexiao Yang,Xueping Yao,Zhijun Zhong,Wei Yang,Xi Wu 한국유전학회 2021 Genes & Genomics Vol.43 No.1

        Background The forest musk deer (FMD, Moschus berezovskii) is an threatened species in China. Bacterial pneumonia was found to seriously restrict the development of FMD captive breeding. Historical evidence has demonstrated the relationship between immune system and intestinal Lactobacillus in FMD. Objective We sought to elucidate the diferences in the gut microbiota of healthy and bacterial pneumonia FMD. Methods The bacterial pneumonia FMD was demonstrated by bacterial and pathological diagnosis, and the gut microbiome of healthy and bacterial pneumonia FMD was sequenced and analysed. Results There are three pathogens (Pseudomonas aeruginosa, Streptococcus equinus and Trueperella pyogenes) isolated from the bacterial pneumonia FMD individuals. Compared with the healthy group, the abundance of Firmicutes and Proteobacteria in the pneumonia group was changed, and a high level of Proteobacteria was found in the pneumonia group. In addition, a higher abundance of Acinetobacter (p=0.01) was observed in the population of the pneumonia group compared with the healthy group. Several potentially harmful bacteria and disease-related KEGG subsystems were only found in the gut of the bacterial pneumonia group. Analysis of KEGG revealed that many genes related to type IV secretion system, type IV pilus, lipopolysaccharide export system, HTH-type transcriptional regulator/antitoxin MqsA, and ArsR family transcriptional regulator were signifcantly enriched in the metagenome of the bacterial pneumonia FMD. Conclusion Our results demonstrated that the gut microbiome was signifcantly altered in the bacterial pneumonia group. Overall, our research improves the understanding of the potential role of the gut microbiota in the FMD bacterial pneumonia.

      • SCOPUSKCI등재

        Study on Thermal Load Capacity of Transmission Line Based on IEEE Standard

        Song, Fan,Wang, Yanling,Zhao, Lei,Qin, Kun,Liang, Likai,Yin, Zhijun,Tao, Weihua Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.3

        With the sustained and rapid development of new energy sources, the demand for electric energy is increasing day by day. However, China's energy distribution is not balanced, and the construction of transmission lines is in a serious lag behind the improvement of generating capacity. So there is an urgent need to increase the utilization of transmission capacity. The transmission capacity is mainly limited by the maximum allowable operating temperature of conductor. At present, the evaluation of transmission capacity mostly adopts the static thermal rating (STR) method under severe environment. Dynamic thermal rating (DTR) technique can improve the utilization of transmission capacity to a certain extent. In this paper, the meteorological parameters affecting the conductor temperature are analyzed with the IEEE standard thermal equivalent equation of overhead transmission lines, and the real load capacity of 220 kV transmission line is calculated with 7-year actual meteorological data in Weihai. Finally, the thermal load capacity of DTR relative to STR under given confidence is analyzed. By identifying the key parameters that affect the thermal rating and analyzing the relevant environmental parameters that affect the conductor temperature, this paper provides a theoretical basis for the wind power grid integration and grid intelligence. The results show that the thermal load potential of transmission lines can be effectively excavated by DTR, which provides a theoretical basis for improving the absorptive capacity of power grid.

      • KCI등재

        Study on Thermal Load Capacity of Transmission Line Based on IEEE Standard

        Fan Song,Yanling Wang,Lei Zhao,Kun Qin,Likai Liang,Zhijun Yin,Weihua Tao 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.3

        With the sustained and rapid development of new energy sources, the demand for electric energy is increasingday by day. However, China’s energy distribution is not balanced, and the construction of transmission lines isin a serious lag behind the improvement of generating capacity. So there is an urgent need to increase theutilization of transmission capacity. The transmission capacity is mainly limited by the maximum allowableoperating temperature of conductor. At present, the evaluation of transmission capacity mostly adopts the staticthermal rating (STR) method under severe environment. Dynamic thermal rating (DTR) technique canimprove the utilization of transmission capacity to a certain extent. In this paper, the meteorological parametersaffecting the conductor temperature are analyzed with the IEEE standard thermal equivalent equation ofoverhead transmission lines, and the real load capacity of 220 kV transmission line is calculated with 7-yearactual meteorological data in Weihai. Finally, the thermal load capacity of DTR relative to STR under givenconfidence is analyzed. By identifying the key parameters that affect the thermal rating and analyzing therelevant environmental parameters that affect the conductor temperature, this paper provides a theoretical basisfor the wind power grid integration and grid intelligence. The results show that the thermal load potential oftransmission lines can be effectively excavated by DTR, which provides a theoretical basis for improving theabsorptive capacity of power grid.

      • KCI등재

        Dynamic Thermal Rating of Overhead Transmission Lines Based on GRAPES Numerical Weather Forecast

        Hongbo Yan,Yanling Wang,Xiaofeng Zhou,Likai Liang,Zhijun Yin,Wei Wang 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.4

        Dynamic thermal rating technology can effectively improve the thermal load capacity of transmission lines. However, its availability is limited by the quantity and high cost of the hardware facilities. This paper proposesa new dynamic thermal rating technology based on global/regional assimilation and prediction system(GRAPES) and geographic information system (GIS). The paper will also explore the method of obtaining anypoint meteorological data along the transmission line by using GRAPES and GIS, and provide the strategy ofextracting and decoding meteorological data. In this paper, the accuracy of numerical weather prediction wasverified from the perspective of time and space. Also, the 750-kV transmission line in Shaanxi Province isconsidered as an example to analyze. The results of the study indicate that dynamic thermal rating based onGRAPES and GIS can fully excavate the line power potential without additional cost on hardware, which savesa lot of investment.

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