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
来源
2020 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2020年
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
  • [21] On-Line Assessment of Transmission Line Thermal Rating Using PMU Data
    Mousavi-Seyedi, Seyed Sina
    Aminifar, Farrokh
    Azimi, Sina
    Garoosi, Zahra
    2014 SMART GRID CONFERENCE (SGC), 2014,
  • [22] PROBABILISTIC INTERRUPTING CURRENT RATING OF TRANSMISSION-LINE CIRCUIT-BREAKERS
    NAHMAN, J
    BEKUT, D
    ELECTRIC POWER SYSTEMS RESEARCH, 1994, 28 (03) : 165 - 170
  • [23] Forecasting for dynamic line rating
    Michiorri, Andrea
    Huu-Minh Nguyen
    Alessandrini, Stefano
    Bremnes, John Bjornar
    Dierer, Silke
    Ferrero, Enrico
    Nygaard, Bjorn-Egil
    Pinson, Pierre
    Thomaidis, Nikolaos
    Uski, Sanna
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 52 : 1713 - 1730
  • [24] Risk analysis in dynamic thermal overhead line rating
    Siwy, Edward
    2006 International Conference on Probabilistic Methods Applied to Power Systems, Vols 1 and 2, 2006, : 955 - 959
  • [25] Probabilistic transmission line ratings
    Yenumula, NP
    Adapa, R
    2004 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, 2004, : 248 - 253
  • [26] Studying the impact of Dynamic Line Rating on the Romanian Power Transmission Grid
    Lebedov, Oana
    Enache, Bogdan-Adrian
    Argatu, Florin-Ciprian
    PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON MODERN POWER SYSTEMS (MPS 2021), 2021,
  • [27] Dynamic Thermal Rating of Transmission Line Based on Environmental Parameter Estimation
    Sun, Zidan
    Yan, Zhijie
    Liang, Likai
    Wei, Ran
    Wang, Wei
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2019, 15 (02): : 386 - 398
  • [28] Overhead Transmission Lines Dynamic Line Rating estimation in WAMS environments
    Giannuzzi, G. M.
    Pisani, C.
    Vaccaro, A.
    Villacci, D.
    2015 INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP), 2015, : 165 - 169
  • [29] Dynamic validation of on-line measurements:: A probabilistic analysis
    Ihalainen, H
    Latva-Käyrä, K
    Ritala, R
    MEASUREMENT, 2006, 39 (04) : 335 - 351
  • [30] Dynamic Line Rating Forecastability for Conservative Day-Ahead Line Rating Values
    Uski, Sanna
    IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2015, : 3738 - 3742