Power Flow Partitioning with Power Flow Decomposition, Full Line Decomposition and Power Flow Coloring

被引:0
|
作者
Glende, Eric [1 ]
Klabunde, Christian [1 ]
Gebhardt, Marc [1 ]
Wolter, Martin [1 ]
机构
[1] Otto von Guericke Univ, Magdeburg, Germany
关键词
Full Line Decomposition (FLD); Power Flow analysis; Power Flow Coloring (PFC); Power Flow Decomposition (PFD); Power transfer distribution factor (PTDF); transfer capability;
D O I
10.1109/SGES51519.2020.00084
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
Because of the highly meshed European grid structure with interconnections between multiple transmission system operators (TSOs), every TSO is influenced by physical power flows that are not a result of his own market flows and that can increase the utilization in his network area. Thus, the identification of partial power flows and their originators is necessary. This paper will highlight three different partial power flow identification methods. The Power Flow Decomposition (PFD) using the AC power flow, the Full Line Decomposition (FLD) and the Power Flow Coloring (PFC) based on the DC power flow with different technical and market-oriented assumptions. The paper will explain and compare all the methods considering their assumptions, advantages and disadvantages as well as their partial power flow results in a small test network.
引用
收藏
页码:442 / 446
页数:5
相关论文
共 50 条
  • [1] Impact of Partitioning on the Performance of Decomposition Methods for AC Optimal Power Flow
    Guo, Junyao
    Hug, Gabriela
    Tonguz, Ozan
    [J]. 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015,
  • [2] Impact of Partitioning on the Performance of Decomposition Methods for AC Optimal Power Flow
    Guo, Junyao
    Hug, Gabriela
    Tonguz, Ozan
    [J]. 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015,
  • [3] Redispatch with Power Flow Decomposition and Power Transfer Distribution Factors Methods
    Chychykina, Iryna
    Klabunde, Christian
    Wolter, Martin
    [J]. 2016 51ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2016,
  • [4] Power flow analysis using successive approximation and adomian decomposition methods with a new power flow formulation
    Dewangan, Kheelesh Kumar
    Panchal, Ashish K.
    [J]. Electric Power Systems Research, 2022, 211
  • [5] Power flow analysis using successive approximation and adomian decomposition methods with a new power flow formulation
    Dewangan, Kheelesh Kumar
    Panchal, Ashish K.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2022, 211
  • [6] Multiperiod optimal power flow using benders decomposition
    Alguacil, N
    Conejo, AJ
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (01) : 196 - 201
  • [7] Identification of HVDC flows based on power flow decomposition
    Gebhardt, Marc
    Klabunde, Christian
    Wolter, Martin
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2020, 68 (09) : 804 - 814
  • [8] Active/Reactive Power Decomposition Approaches To The AC Optimal Power Flow Problem
    Park, ByungKwon
    DeMarco, Christopher L.
    [J]. 2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2014,
  • [9] A Nested Decomposition Method for the AC Optimal Power Flow of Hierarchical Electrical Power Grids
    Wang, Qi
    Lin, Chenhui
    Wu, Wenchuan
    Wang, Bin
    Wang, Guannan
    Liu, Haitao
    Zhang, Hongyu
    Zhang, Jun
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (03) : 2594 - 2609
  • [10] Decomposition and coordination power flow calculation using network partition
    Hubei's Key Laboratory of Electric Power Security and High Efficiency, Huazhong University of Science and Technology, Wuhan 430074, China
    [J]. Gaodianya Jishu, 2007, 7 (173-176):