[1]洪玉娟,张旭东,陈 汹,等.离散算法对架空线路温度模型精度影响及其改进计算方法[J].南京理工大学学报(自然科学版),2018,42(05):511.[doi:10.14177/j.cnki.32-1397n.2018.42.05.001]
 Hong Yujuan,Zhang Xudong,Chen Xiong,et al.Effect of discrete scheme on precision of temperature model foroverhead transmission line and improved calculation method[J].Journal of Nanjing University of Science and Technology,2018,42(05):511.[doi:10.14177/j.cnki.32-1397n.2018.42.05.001]
点击复制

离散算法对架空线路温度模型精度影响及其改进计算方法()
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
42卷
期数:
2018年05期
页码:
511
栏目:
出版日期:
2018-10-30

文章信息/Info

Title:
Effect of discrete scheme on precision of temperature model foroverhead transmission line and improved calculation method
文章编号:
1005-9830(2018)05-0511-07
作者:
洪玉娟1张旭东1陈 汹234王 旺234
1.南京理工大学 能源与动力工程学院,江苏 南京 210094; 2.南瑞集团(国网电力科学研究院)有限公司,江苏 南京 211106; 3.国电南瑞科技股份有限公司,江苏 南京 211106; 4.智能电网保护和运行控制国家重点实验室,江苏 南京211106
Author(s):
Hong Yujuan1Zhang Xudong1Chen Xiong234Wang Wang234
1.School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China; 3.NARI Technology Co Ltd,Nanjing 211106,China; 4.State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106,China
关键词:
线路温度 离散算法 计算精度
Keywords:
line temperature discrete schemes calculation accuracy
分类号:
TM244.2
DOI:
10.14177/j.cnki.32-1397n.2018.42.05.001
摘要:
IEEE 738高压架空线路温度计算模型的时间离散分辨率往往受相关监测系统条件限制。为了解决较低时间分辨率下温度计算精度下降的问题,该文基于前向欧拉法、四阶Runge-Kutta法、后向欧拉法和隐式梯形法,探讨了不同离散方法对架空线路温度计算模型精度的影响。在此基础上,提出了一种基于四阶Runge-Kutta法和二次函数近似的线路温度模型改进计算方法。算例结果表明,大离散步长下,该文方法可提高四阶Runge-Kutta法的线路温度计算精度。
Abstract:
In the IEEE 738,the standard for calculating the current-temperature relationship of bare overhead conductors,the time resolution is often limited by monitoring conalitions. In order to solve the problem of temperature calculation accuracy degradation caused by the lower time resolution,the model is calculated by using the forward Euler method,the fourth order Runge-Kutta method,the backward Euler method and the hiding-trapezium method respectively. Different discrete schemes are discussed on the accuracy for temperature model of overhead transmission lines. A new method for calculating the line temperature model based on the fourth-order Runge-Kutta method and the quadratic function approximation is proposed. Numerical example results show that the larger discrete steps based on the fourth order Runge-Kutta method of model has higher accuracy. The proposed method can improve the fourth order Runge-Kutta method effectively in the temperature calculation accuracy.

参考文献/References:

[1] 林玉章. 高压架空输电线路载流量和温度计算[J]. 南方电网技术,2012,6(4):23-27.
Lin Yuzhang. The calculation of current carrying capacity and temperature of high voltage overhead lines[J]. Southern Power System Technology,2012,6(4):23-27.
[2]王孟夏,韩学山. 基于电热协调的电网安全校正控制方法[J]. 电力系统自动化,2011,35(12):32-36.
Wang Mengxia,Han Xueshan. Realization of security corrective control considering electro-thermal coordination[J]. Automation of Electric Power Systems,2011,35(12):32-36.v[3]刘刚,阮班义,张鸣. 架空导线动态增容的热路法暂态模型[J]. 电力系统自动化,2012,36(16):58-62.
Liu Gang,Ruan Banyi,Zhang Ming. A transient model for overhead transmission line dynamic rating based on thermal circuit method[J]. Automation of Electric Power Systems,2012,36(16):58-62.
[4]王孔森,盛戈皞,王葵,等. 输电线路动态增容运行风险评估[J]. 电力系统自动化,2011,35(23):11-15.
Wang Kongsen,Sheng Gehao,Wang Kui,et al. Operation risk assessment of a transmission line dynamic line rating system[J]. Automation of Electric Power Systems,2011,35(23):11-15.
[5]IEEE Standard 738-2012. IEEE standard for calculating the current-temperature relationship of bare overhead conductors[S].
[6]IEC/TR 61597-1995. Overhead electrical conductors-calculation methods for stranded bare conductors[S].
[7]柳亚芳,应展烽,张旭东,等. 基于线性回归的架空导线热路模型集总参数辨识[J]. 南京理工大学学报,2015,39(3):335-341.
Liu Yafang,Ying Zhanfeng,Zhang Xudong,et al. Lumped parameter identification of overhead line thermal circuit model based on linear regression[J]. Journal of Nanjing University of Science and Technology,2015,39(3):335-341.
[8]童璇. 基于热路模型和马尔科夫链的碳纤维复合芯导线载流量估计研究[D]. 南京:南京理工大学能源与动力工程学院,2017.
[9]Ying Z F,Chen Y S,Feng K. New DTR estimation method without measured solar and wind data[J]. Journal of Electrical Engineering & Technology,2017,12(2):576-585.
[10]Shaker H,Fotuhi-Firuzabad M,Aminifar F. Fuzzy dynamic thermal rating of transmission lines[J]. IEEE Transactions on Power Delivery,2012,27(4):1885-1892.
[11]雷成华,刘刚,李钦豪. BP神经网络模型用于单芯电缆导体温度的动态计算[J]. 高电压技术,2011,37(1):184-189.
Lei Chenghua,Liu Gang,Li Qinhao. Dynamic calculation of conductor temperature of single-cable using BP neural network[J]. High Voltage Engin-eering,2011,37(1):184-189.
[12]黄新波,孙钦东,张冠军. 输电线路导线及金具温度在线监测系统[J]. 电气应用,2008,27(16):63-67.
Huang Xinbo,Sun Qindong,Zhang Guanjun. An on-line monitoring system of temperature of conductors and fittings in transmission lines[J]. Electrotechnical Application,2008,27(16):63-67.
[13]索尔,吴兆金,王国英,等. 数值分析[M]. 北京:人民邮电出版社,2010:195-298.
[14]Santos J R,Gómez Expósito A,Parre?o Sánchez F. Assessment of conductor thermal models for grid studies[J]. IET Generation,Transmission & Distribution,2007,1(1):155-161.

备注/Memo

备注/Memo:
收稿日期:2017-11-14 修回日期:2018-03-13
基金项目:国家自然科学基金(51607091); 中英高校基本科研业务专项资金资助项目(30916011334); 南京南瑞集团公司智能电网保护和运行控制国家重点实验室开放基金(SGNR0000GZJS1705881)
作者简介:洪玉娟(1994-),女,硕士生,主要研究方向:高压架空输电线路状态监测,E-mail:yjhongsky@163.com; 通讯作者:张旭东(1983-),男,博士,讲师,主要研究方向:电气设备状态监测,E-mail:zxdhtg@126.com。
引文格式:洪玉娟,张旭东,陈汹,等. 离散算法对架空线路温度模型精度影响及其改进计算方法[J]. 南京理工大学学报,2018,42(5):511-517.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2018-10-30