• DocumentCode
    272051
  • Title

    Distributed generation in strategic nodes for mitigation of impact of cascade failures

  • Author

    Cantor, Elkín L. ; Rios, Mario A.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
  • fYear
    2014
  • fDate
    10-13 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power security planning becomes an important issue in the actual growth of power system due to the dependence of modern society to a reliable, secure and flexible network. Major blackouts are started by cascade failures which successively weaken the system and make further failures more likely. With the advance of utilization of distributed generation (DG), this is a feasible and cost-effective solution to mitigate cascading failures impacts. This paper presents a methodology based on the Manchester Model to evaluate the effectiveness of DG in the mitigation of impacts due to cascade failures. The expected value of energy not supplied (EENS), with and without DG, is computed as security index for comparisons. Then, a practical identification of strategic nodes for the installation of DG using distribution factors is presented.
  • Keywords
    Monte Carlo methods; distributed power generation; power distribution reliability; DG; EENS; Manchester model; cascade failure impact mitigation; distributed generation; distribution factors; expected value of energy not supplied; power security planning; security index; strategic nodes; Distributed power generation; Load flow; Load modeling; Power transmission lines; Reliability; Transmission line matrix methods; Cascade Failures; Distributed Generation; Distribution Factors; Monte Carlo Simulation; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4799-6250-1
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2014.6955228
  • Filename
    6955228