Transmission Line Overloading Analysis Using Probabilistic Dynamic Line Rating

被引:2
|
作者
Hajeforosh, SeyedeFatemeh [1 ]
Bollen, Math H. J. [1 ]
机构
[1] Lulea Univ Technol, Elect Power Engn Grp, S-93187 Skelleftea, Sweden
关键词
Curtailment; Dynamic Line Rating; Protection; Probabilistic Approach; Uncertainty;
D O I
10.1109/pmaps47429.2020.9183550
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Load growth and addition of renewable energy generation occur in a way that makes the power grid being operated closer to its physical limits. Increasing the flexibility of the electrical power system is an essential step in ensuring a continued high reliability of the electricity supply. Dynamic line rating (DLR) can be utilized to increase the reliability of the system by ordering curtailment only when needed. In this paper, a probabilistic approach is introduced for the operational overload protection based on the probability distribution of the actual line capacity. That distribution is obtained by considering measurement and prediction errors in weather parameters as well as other uncertainties. The results indicate that probabilistic DLR based protection would allow operational decision-making based on a fair balance between dependability and security. This is not possible using the classical overload protection system.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Probabilistic Forecasting of Dynamic Line Rating for Over-head Transmission Lines
    Sun, Xiaorong
    Luh, Peter B.
    Cheung, Kwok W.
    Guan, Wei
    2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
  • [2] Uncertainty Analysis of Transmission Line with Fuzzy Dynamic Thermal Rating
    Yaqoob, Yasir
    2021 IEEE INTERNATIONAL FUTURE ENERGY ELECTRONICS CONFERENCE (IFEEC), 2021,
  • [3] Uncertainty Analysis of Dynamic Thermal Rating of Overhead Transmission Line
    Zhou, Xing
    Wang, Yanling
    Zhou, Xiaofeng
    Tao, Weihua
    Niu, Zhiqiang
    Qu, Ailing
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2019, 15 (02): : 331 - 343
  • [4] Predictive Line Rating In Underground Transmission Lines Going Beyond Dynamic Line Rating
    Negari, Shahram
    Raahemifar, Kaamran
    Xu, David
    2016 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2016,
  • [5] Increasing of dynamic thermal rating of transmission line
    Samanmit, Udomkarn
    Chusanapiputt, Songsak
    Pungprasert, Vuthichai
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 2315 - 2318
  • [6] Secure Probabilistic Prediction of Dynamic Thermal Line Rating
    N.Safari
    S.M.Mazhari
    C.Y.Chung
    S.B.Ko
    Journal of Modern Power Systems and Clean Energy, 2022, 10 (02) : 378 - 387
  • [7] Probabilistic Weather Forecasting for Dynamic Line Rating Studies
    Fan, Fulin
    Bell, Keith
    Infield, David
    2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
  • [8] Secure Probabilistic Prediction of Dynamic Thermal Line Rating
    Safari, N.
    Mazhari, S. M.
    Chung, C. Y.
    Ko, S. B.
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2022, 10 (02) : 378 - 387
  • [9] Computation of Dynamic Line Rating of Overhead Transmission Line Using Weather Forecast and Interval Arithmetic
    Chaichana, Artitaya
    2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [10] Prediction of transmission line overloading using intelligent technique
    Sharma, Savita
    Srivastava, Laxmi
    APPLIED SOFT COMPUTING, 2008, 8 (01) : 626 - 633