Transactions of China Electrotechnical Society  2020, Vol. 35 Issue (3): 636-645    DOI: 10.19595/j.cnki.1000-6753.tces.181914
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Transmission Line Model and Analysis Method Considering the Time and Space Distribution Characteristics of Meteorology
Wang Yanling1, Mo Yang1, Han Xueshan2, Meng Xiangxing3, Niu Zhiqiang4
1. School of Mechanical Electrical and Information Engineering Shandong University(Weihai) Weihai 264209 China;
2. School of Electrical Engineering Shandong University Jinan 250061 China;
3. National Grid Heilongjiang Electric Power Co. Ltd Harbin 150090 China;
4. National Grid Weihai Power Supply Company Weihai 264209 China

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Abstract  The meteorological data along the overhead line vary in time and space, which has an important influence on the operating state of the system. Based on the thermal balance equation of CIGRE standard, this paper iteratively solves the conductor temperature of transmission lines. Through the real weather data, the seasonal variation of the meteorological data of a 220 kV line in Shandong area and the spatial variation of meteorological data along a 500 kV line in Dongbei area are analyzed by examples. Considering the time distribution characteristics of meteorological parameters, a seasonal model is given. Considering the space distribution, the mean value model, the weight average value model and the line segmentation model are established. Further, based on the relationship between conductor temperature and line parameters, the system power flow model considering the time and space distribution of meteorological data and the decomposition coordination solution are established. Through the power flow calculation and network transmission capability analysis, it shows that the conductor temperature of the overhead line has significant time and space variation characteristics. Considering the time and space distribution characteristics of meteorological parameters can effectively improve the accuracy of power grid state analysis.
Key wordsTransmission line      meteorological data      conductor temperature      the time and space distribution      power flow      PV curve     
Received: 21 December 2018      Published: 12 February 2020
PACS: TM751  
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Wang Yanling
Mo Yang
Han Xueshan
Meng Xiangxing
Niu Zhiqiang
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Wang Yanling,Mo Yang,Han Xueshan等. Transmission Line Model and Analysis Method Considering the Time and Space Distribution Characteristics of Meteorology[J]. Transactions of China Electrotechnical Society, 2020, 35(3): 636-645.
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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181914     OR     https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I3/636
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