A method for dynamically adjusting line capacity based on the winddirection, wind speed and meteorological parameters
CSTR:
Author:
Clc Number:

TM863

  • Article
  • | |
  • Metrics
  • |
  • Reference [16]
  • | | | |
  • Comments
    Abstract:

    Most of the rated capacity design of transmission lines is based on conservative meteorological conditions such as high temperature and low wind speed, and the rated capacity is a fixed value. This conservative method often leads to insufficient utilization of line capacity. The method of dynamically adjusting the line capacity is to adaptively calculate the available capacity of the line by using the local meteorological parameters such as wind direction and wind speed and the grid load. In this paper, the local wind field is modeled based on hydrodynamics calculation, and the wind field modeling results are combined with the meteorological station data to estimate the available capacity of the line. The proposed method is tested on overhead lines in Shenyang suburb. The results show that the calculated available capacity is higher than the static rated capacity in 76% of the research time, and it is 22% higher than the static rated capacity, which verifies the effectiveness of the proposed method.

    Reference
    [1] 徐青松,韩芳,王孟龙.架空导线载流量的等效风速系数算法[J].高电压技术,2008,34(10):2200-2204.XU Qingsong,HAN Fang,WANG Menglong.Algorithm for equivalent wind speed coefficient of overhead conductor ampacity[J].High Voltage Technology,2008,34(10):2200-2204.
    [2] 张斌,林章岁,叶荣,等.随环境条件变化的输电线路输送容量概率建模研究[J].电工电能新技术,2017,36(12):46-52.ZHANG Bin,LIN Zhangsui,YE Rong,et al.Probabilistic modeling of transmission capacity of transmission lines with changing environmental conditions[J].Advanced Technology of Electrical Engineering,2017,36(12):46-52.
    [3] GREENWOOD D M,TAYLOR P C.Investigating the impact of real-time thermal ratings on power network reliability[J].IEEE Transactions on Power Systems,2014,29(5):2460-2468.
    [4] DOUGLASS D,CHISHOLM W,DAVIDSON G,et al.Real-time overhead transmission line monitoring for dynamic rating[J].IEEE Transactions on Power Delivery,2016,31(3):921-927.
    [5] AZNARTE J L,SIEBERT N.Dynamic line rating using numerical weather predictions and machine learning:a case study[J].IEEE Transactions on Power Delivery,2017,32(1):335-343.
    [6] USKI S.Estimation method for dynamic line rating potential and economic benefits[J].International Journal of Electrical Power and Energy Systems,2015,65:76-82.
    [7] WANG C,GAO R,QIU Fei,et al.Risk-based distributionally robust optimal power flow with dynamic line rating[J].IEEE Transactions on Power Systems,2018,33(6):6074-6086.
    [8] DAWSON L,KNIGHT A M.Applicability of dynamic thermal line rating for long lines[J].IEEE Transactions on Power Delivery,2018,33(2):719-727.
    [9] 李隆基,郗晓光,李志坚,等.微地形环境下输电线路微气象分析与预测技术[J].中国电力,2020,53(3):76-83.LI Longji,XI Xiaoguang,LI Zhijian,et al.Analysis and prediction of micro-meteorological parameters for power transmission lines in micro-terrain environment[J].Electric Power,2020,53(3):76-83.
    [10] TENG F,DUPIN R,MICHIORRI A,et al.Understanding the benefits of dynamic line rating under multiple sources of uncertainty[J].IEEE Transactions on Power Systems,2018,33(3):3306-3314.
    [11] ZHAN J,CHUNG C Y,DEMETER E.Time series modeling for dynamic thermal rating of overhead lines[J].IEEE Transactions on Power Systems,2016,32(3):353-361.
    [12] 卢正飞,朱可凡,刘子俊,等.基于电压降落比较的高压架空线路断线保护原理[J].智慧电力,2021,49(1):9-13+55.LU Zhengfei,ZHU Kefan,LIU Zijun,et al.High-voltage overhead line breakage protection based on voltage drop comparison[J].Smart Power,2021,49(1):9-13+55.
    [13] 胡浩,魏华跃,刘国玉,等.220kV变电站主变低压侧跳闸典型故障分析与启示[J].电力系统保护与控制,2021,49(19):153-161.HU Hao,WEI Huayue,LIU Guoyu,et al.Typical fault analysis and revelation of a low voltage side trip of a main transformer in a 220 kV substation[J].Power System Protection and Control,2021,49(19):153-161.
    [14] NICK M,ALIZADEH-MOUSAVI O,CHERKAOUI R,et al.Security constrained unit commitment with dynamic thermal line rating[J].IEEE Transactions on Power Systems,2016,31(3):2014-2025.
    [15] 魏晓川,王新刚.基于气象大数据的城市电力负荷预测[J].电测与仪表,2021,58(2):90-95.WEI Xiaochuan,WANG Xingang.Prediction of urban electricity load based on meteorological big data[J].Electrical Measurement & Instrumentation,2021,58(2):90-95.
    [16] 李云阁,权立,刘健,等.可控配电网单相间歇电弧接地装置[J].电网与清洁能源,2021,37(7):1-7+24.LI Yunge,QUAN Li,LIU Jian,et al.Controllable single-phase intermittent-arc grounding device used on distribution systems[J].Power System and Clean Energy,2021,37(7):1-7+24.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

陈友慧,刘然,李冬雪,许傲然,谷彩连.基于风向风速气象参数动态调整线路容量的方法[J].电力科学与技术学报英文版,2022,37(2):38-46. CHEN Youhui, LIU Ran, LI Dongxue, XU Aoran, GU Cailian. A method for dynamically adjusting line capacity based on the winddirection, wind speed and meteorological parameters[J]. Journal of Electric Power Science and Technology,2022,37(2):38-46.

Copy
Share
Article Metrics
  • Abstract:201
  • PDF: 726
  • HTML: 0
  • Cited by: 0
History
  • Online: May 26,2022
Article QR Code