• DocumentCode
    2671086
  • Title

    Fault Location and Voltage Estimation in Transmission Systems by Evolutionary Algorithms

  • Author

    Guerra, W. ; Kagan, N.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2009
  • fDate
    8-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper aims at presenting the development and implementation of an approach to deal with fault location in transmission systems by Evolutionary Algorithms. The algorithm allows for the estimation of voltage sags and swells in non-monitored buses as well. An Evolutionary Strategy was applied to address the optimization problem, from the generation of a population of individuals that represent possible solutions to the problem to the evolutionary operators such as selection, mutation and crossover. Some variants of the basic approach were also considered in such a way to determine the fault location with better performance. A case study, based on the 30 bus IEEE study system, demonstrates the potential of the proposed methodology.
  • Keywords
    evolutionary computation; fault location; fault simulation; power supply quality; power transmission faults; 30 bus IEEE study system; evolutionary algorithms; fault location; nonmonitored bus; transmission system; voltage estimation; voltage sag estimation; Circuit faults; Evolutionary computation; Fault location; Genetic algorithms; Genetic mutations; Impedance; Power quality; Power system faults; Quality of service; Voltage; Evolutionary Algorithms; Evolutionary Strategies; Fault Location; Optimization; State Estimation; Voltage Sags and Swells; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
  • Conference_Location
    Curitiba
  • Print_ISBN
    978-1-4244-5097-8
  • Type

    conf

  • DOI
    10.1109/ISAP.2009.5352871
  • Filename
    5352871