• DocumentCode
    727314
  • Title

    Assessment of Robustness of Power Systems from the Perspective of Complex Networks

  • Author

    Xi Zhang ; Tse, Chi K.

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    2684
  • Lastpage
    2687
  • Abstract
    In this paper, we study the robustness assessment of power systems. Since the power grid is an electrical network by nature, it can be fully and accurately described by circuit laws. Based on Kirchhoff´s laws and the properties of network elements, we propose a complex network model that generates power flow information given the electricity consumption and generation information. It has been widely known that large scale blackouts are results of a series of cascading failures triggered by the malfunctioning of specific critical components. Power systems can be more robust if there are fewer such critical components or the network configuration is suitably designed. The percentage of unserved nodes (PUN) caused by a failed component and the percentage of non-critical links (PNL) that will not cause severe damage are used to provide quantitative indication of a power system´s robustness. We study the IEEE 118 Bus, Northern European Grid and other practical power systems. Simulation results show that small-world connection of the grid can significantly degrade a power system´s robustness.
  • Keywords
    complex networks; load flow; power grids; power system reliability; power system simulation; Kirchhoff´s laws; PUN; cascading failure; complex networks; electrical network; electricity consumption; network configuration; percentage of unserved node; power flow information; power grid; power system robustness assessment; Europe; Generators; Power grids; Power system faults; Power system protection; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169239
  • Filename
    7169239