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Power Flow Tracing for Active Congestion Management in Modern Power Systems

Author

Listed:
  • Aleksandra Baczyńska

    (Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Street 18/22, 90-924 Lodz, Poland
    These authors contributed equally to this work.)

  • Waldemar Niewiadomski

    (Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Street 18/22, 90-924 Lodz, Poland
    These authors contributed equally to this work.)

Abstract

Future power systems will be based on the more active role of distribution system and its cooperation with transmission system. The main issue, which will appear in the network, is the congestion. Congestion management will become one of the crucial elements of power system operation since Distributed Energy Resources (DERs) will be playing a more important role in power systems. Moreover, the evolution also changed the character of the systems to be more dynamic—the need for precise description of power flow and shares of particular nodes in line flows will emerge. This paper presents the potential solution to the congestion management problem by using the active role of the distribution system, which may dismantle the congestions by offering flexibility services. The tools which will be indispensable in this process will be Power Flow Tracing (PFT) methods. The main goal of this paper is to present modification of PFT method and its possible applications. The correctness of the Modified Inage Domain (MID) method is verified. The identification, verification and possible applications of the new MID method are also shown in the paper. It has been proven that the new method may be used in applications of allocation of transmission cost and in application in modern power systems for advanced congestion management.

Suggested Citation

  • Aleksandra Baczyńska & Waldemar Niewiadomski, 2020. "Power Flow Tracing for Active Congestion Management in Modern Power Systems," Energies, MDPI, vol. 13(18), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4860-:d:414677
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    References listed on IDEAS

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    1. Ayman Esmat & Julio Usaola & María Ángeles Moreno, 2018. "Distribution-Level Flexibility Market for Congestion Management," Energies, MDPI, vol. 11(5), pages 1-24, April.
    2. Javier Leiva & Rubén Carmona Pardo & José A. Aguado, 2019. "Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks," Energies, MDPI, vol. 12(7), pages 1-20, April.
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    Cited by:

    1. Jinghan He & Ninghui Han & Ziqi Wang, 2021. "Optimization Method for Multiple Measures to Mitigate Line Overloads in Power Systems," Energies, MDPI, vol. 14(19), pages 1-19, September.

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    Keywords

    PFT; congestion management; PTDF;
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