Dynamic Line Rating for Congestion Management in Distribution Network

被引:0
|
作者
Delgado, A. [1 ]
Bedialauneta, M.T. [2 ]
Fernandez, E. [1 ]
Albizu, I. [2 ]
Castillo, P. [2 ]
机构
[1] Department of Electrical Engineering, University of the Basque Country UPV/EHU Campus of Bizkaia, Spain
[2] Department of Electrical Engineering, University of the Basque Country UPV/EHU Campus of Gipuzkoa, Spain
来源
关键词
Power distribution networks;
D O I
暂无
中图分类号
学科分类号
摘要
The growth of the demand because of the electrification of the heating system and the popularization of the use of electric vehicles added to an increase on the renewable energies generation connected to the distribution level, are responsible for an increase in the use of distribution network. This may lead to more congestions at this level that up to the date, are solved with direct switching actions which implies a negative economic impact and consequences for consumers and producers. Congestions can be solved also with market-based demand response which need the system to have flexibility to be applied effectively. On transmission network the usage of dynamic line rating (DLR) is more extended but on the distribution level, it is not common. This paper aims to show the use of DLR to provide flexibility to the distribution network, easing congestion management. © 2024, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
引用
收藏
页码:147 / 151
相关论文
共 50 条
  • [41] 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,
  • [42] An active queue management algorithm for congestion detection and control in dynamic network topologies
    Rahmani, R
    Popov, O
    Popova, I
    8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XI, PROCEEDINGS: CONTROL, COMMUNICATION AND NETWORK SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2004, : 263 - 267
  • [43] Intelligent Line Congestion Prognosis in Active Distribution System Using Artificial Neural Network
    Alali, Mohammad
    Shimim, Farshina Nazrul
    Shahooei, Zagros
    Bahramipanah, Maryam
    2021 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2021,
  • [44] Probabilistic risk-based management of distribution transformers by dynamic transformer rating
    Bracale, Antonio
    Carpinelli, Guido
    De Falco, Pasquale
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 113 : 229 - 243
  • [45] Congestion Management in Modern Power System Containing Active Distribution Network Nodes
    Wang, Xu
    Jiang, Chuanwen
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2016, 44 (13) : 1453 - 1465
  • [46] Multiple Congestion Management for Distribution Network Based on Optimization Classification of Load Aggregators
    Li Z.
    Qian J.
    Fu Y.
    Ji L.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (19): : 109 - 116
  • [47] Adaptive Echo State Network to Maximize Overhead Power Line Dynamic Thermal Rating
    Yang, Yi
    Harley, Ronald
    Divan, Deepak
    Habetler, Thomas
    2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6, 2009, : 2167 - 2174
  • [48] Interest Distribution Model Based on the Line Loss Management in Distribution Network
    Hu, Qizhou
    Zhang, Xiuge
    Huang, Xuncheng
    ADVANCED TECHNOLOGIES IN MANUFACTURING, ENGINEERING AND MATERIALS, PTS 1-3, 2013, 774-776 : 1951 - +
  • [49] Line flow sensitivities of line reactances for congestion management
    Jibiki, Takahiro
    Sakakibara, Eiji
    Iwamoto, Shinichi
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 2848 - +
  • [50] Network Congestion Diffusion Model Considering Congestion Distribution Information
    Wen, Guoyi
    Huang, Ning
    Wang, Chunlin
    IEEE ACCESS, 2019, 7 : 102064 - 102072