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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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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.
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Qiu Hongbo,Chen Si,Liang Guangchuan,Yang Cunxiang 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
The suspension performance is an important evaluation index of the bearingless motor, which is the key to avoiding shutdown caused by stator and rotor collisions, as well as the safe and stable operation of the motor. In this paper, an Accurate Decoupling Mathematical Analysis Method for Multi-harmonic Magnetic Field Based on Maxwell Tensor Method. On the basis of the mathematical analysis model of the suspension performance and the analysis of the air gap multi-magnetic feld, the weight classifcation of the infuence of coupling magnetic feld on radial suspension force is studied. The spatial distribution and temporal variation of the suspension force and its fuctuation are analyzed according to the coupling relationship involving the constant, fuctuating components and the space-time vector in the space-time vector expression of the suspension force, and the relationship between the space–time coupled magnetic feld and the suspension performance is obtained. Further combined with numerical analysis, the efect of polar arc eccentricity on suspension performance is analyzed, the optimal eccentricity for suspension performance is found, and the efect of the harmonic magnetic feld of permanent magnets on the fuctuation of levitation force is verifed. Finally, the prototype is made, the experimental platform was built, and the experimental platform is constructed to test the static and the dynamic performance of the prototype.
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Pengguo Xia,Hongbo Guo,Hongguang Zhao,Jie Jiao,Michael K. Deyholos,Xijun Yan,Yan Liu,Zongsuo Liang 고려인삼학회 2016 Journal of Ginseng Research Vol.40 No.1
Background: Blind and excessive application of fertilizers was found during the cultivation of Panax notoginseng in fields, as well as increase in root rot disease incidence. Methods: Both “3414” application and orthogonal test designs were performed at Shilin county, Yunnan province, China, for NPK (nitrogen, phosphorus, and potassium) and mineral fertilizers, respectively. The data were used to construct the one-, two-, and three-factor quadratic regression models. The effect of fertilizer deficiency on root yield loss was also analyzed to confirm the result predicted by these models. A pot culture experiment was performed to observe the incidence rate of root rot disease and to obtain the best range in which the highest yield of root and saponins could be realized. Results: The best application strategy for NPK fertilizer was 0 kg/667 m2, 17.01 kg/667 m2, and 56.87 kg/ 667m2, respectively, which can produce the highest root yield of 1,861.90 g (dried root of 100 plants). For mineral fertilizers, calcium and magnesium fertilizers had a significant and positive effect on root yield and the content of four active saponins, respectively. The severity of root rot disease increased with the increase in soil moisture. The best range of soil moisture varied from 0.56 FC (field capacity of water) to 0.59 FC, when the highest yield of root and saponins could be realized as well as the lower incidence rate of root disease. Conclusion: These results indicate that the amount of nitrogen fertilizer used in these fields is excessive and that of potassium fertilizer is deficient. Higher soil moisture is an important factor that increases the severity of the root rot disease.
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Xia, Pengguo,Guo, Hongbo,Zhao, Hongguang,Jiao, Jie,Deyholos, Michael K.,Yan, Xijun,Liu, Yan,Liang, Zongsuo The Korean Society of Ginseng 2016 Journal of Ginseng Research Vol.40 No.1
Background: Blind and excessive application of fertilizers was found during the cultivation of Panax notoginseng in fields, as well as increase in root rot disease incidence. Methods: Both "3414" application and orthogonal test designs were performed at Shilin county, Yunnan province, China, for NPK (nitrogen, phosphorus, and potassium) and mineral fertilizers, respectively. The data were used to construct the one-, two-, and three-factor quadratic regression models. The effect of fertilizer deficiency on root yield loss was also analyzed to confirm the result predicted by these models. A pot culture experiment was performed to observe the incidence rate of root rot disease and to obtain the best range in which the highest yield of root and saponins could be realized. Results: The best application strategy for NPK fertilizer was $0kg/667m^2$, $17.01kg/667m^2$, and $56.87kg/667m^2$, respectively, which can produce the highest root yield of 1,861.90 g (dried root of 100 plants). For mineral fertilizers, calcium and magnesium fertilizers had a significant and positive effect on root yield and the content of four active saponins, respectively. The severity of root rot disease increased with the increase in soil moisture. The best range of soil moisture varied from 0.56 FC (field capacity of water) to 0.59 FC, when the highest yield of root and saponins could be realized as well as the lower incidence rate of root disease. Conclusion: These results indicate that the amount of nitrogen fertilizer used in these fields is excessive and that of potassium fertilizer is deficient. Higher soil moisture is an important factor that increases the severity of the root rot disease.
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( Lihua Yang ),( Longxiang Yang ),( Hongbo Zhu ),( Yan Liang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.3
Achievable sum rate and energy efficiency (EE) are investigated for the massive multiple-input multiple-output (Massive MIMO) downlink with channel aging in the time varying Ricean fading channel. Specifically, the expression of the achievable sum rate of the system for the maximum ratio transmission (MRT) precoder with aged channel state information (CSI) in the time varying Ricean fading channel is first presented. Based on the expression, the effect of both channel aging and the Ricean factor on the power scaling law are studied. It is found that the transmit power of base station (BS) is scaled down by 1/√M (where M is the number of the BS antennas) when the Ricean factor K is equal to zero (i.e., time varying Rayleigh fading channel), indicating that aged CSI does not affect the power scaling law. However, the transmit power of the BS is scaled down by for the time varying Ricean fading channel (where K≠0) indicating that the Ricean factor affects the power scaling law and sum rate, and channel aging only leads to a reduction of the sum rate. Second, the EE of the system is analyzed based on the general power consumption model. Both the theoretical analysis and the simulations show that the channel aging could degrade the sum rate and the EE of the system, and it does not affect the power scaling law.
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Dynamics in Biomass of Poa pratensis ver. anceps Gaud. Cv. in the Qinghai-Tibetan Plateau
Qingping Zhou,Wenhui Liu,Hongbo Yan,Guoling Liang 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08
Dynamics of aboveground and underground biomass of Qinghai flat-stem bluegrass (Poa pratensis vayr. anceps Gaud. Cv in ">" shape, and vertical distributions of biomass of roots, rhizomes and underground were all in "T" shape and fit equation of Y= l-βD. There was direct correlation between biomass of above ground and biomass of underground. Ration of underground to aboveground was 0.4l.
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Yan, XiangMin,Wang, Jia,Li, Hongbo,Gao, Liang,Geng, Juan,Ma, Zhen,Liu, Jianming,Zhang, Jinshan,Xie, Penggui,Chen, Lei Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.9
Objective: With the rapid development of proteomics sequencing and RNA sequencing technology, multi-omics analysis has become a current research hotspot. Our previous study indicated that Xinjiang brown cattle have better meat quality than Kazakh cattle. In this study, Xinjiang brown cattle and Kazakh cattle were used as the research objects. Methods: Proteome sequencing and RNA sequencing technology were used to analyze the proteome and transcriptome of the longissimus dorsi muscle of the two breeds of adult steers (n = 3). Results: In this project, 22,677 transcripts and 1,874 proteins were identified through quantitative analysis of the transcriptome and proteome. By comparing the identified transcriptome and proteome, we found that 1,737 genes were identified at both the transcriptome and proteome levels. The results of the study revealed 12 differentially expressed genes and proteins: troponin I1, crystallin alpha B, cysteine, and glycine rich protein 3, phosphotriesterase-related, myosin-binding protein H, glutathione s-transferase mu 3, myosin light chain 3, nidogen 2, dihydropyrimidinase like 2, glutamate-oxaloacetic transaminase 1, receptor accessory protein 5, and aspartoacylase. We performed functional enrichment of these differentially expressed genes and proteins. The Kyoto encyclopedia of genes and genomes results showed that these differentially expressed genes and proteins are enriched in the fatty acid degradation and histidine metabolism signaling pathways. We performed parallel reaction monitoring (PRM) verification of the differentially expressed proteins, and the PRM results were consistent with the sequencing results. Conclusion: Our study provided and identified the differentially expressed genes and proteins. In addition, identifying functional genes and proteins with important breeding value will provide genetic resources and technical support for the breeding and industrialization of new genetically modified beef cattle breeds.
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Construction of a Ginsenoside Content-predicting Model based on Hyperspectral Imaging
Xiaofeng Ning,Yuan Juan Gong,Yong Liang Chen,Hongbo Li 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4
Purpose: The aim of this study was to construct a saponin content-predicting model using shortwave infrared imaging spectroscopy. Methods: The experiment used a shortwave imaging spectrometer and ENVI spectral acquisition software sampling a spectrum of 910 nm–2500 nm. The corresponding preprocessing and mathematical modeling analysis was performed by Unscrambler 9.7 software to establish a ginsenoside nondestructive spectral testing prediction model. Results: The optimal preprocessing method was determined to be a standard normal variable transformation combined with the second-order differential method. The coefficient of determination, R², of the mathematical model established by the partial least squares method was found to be 0.9999, while the root mean squared error of prediction, RMSEP, was found to be 0.0043, and root mean squared error of calibration, RMSEC, was 0.0041. The residuals of the majority of the samples used for the prediction were between ±1. Conclusion: The experiment showed that the predicted model featured a high correlation with real values and a good prediction result, such that this technique can be appropriately applied for the nondestructive testing of ginseng quality.
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