• DocumentCode
    2018335
  • Title

    Decision making methodology based on expert systems for minimizing economic impact of voltage sags in industrial power systems

  • Author

    Espana Forero, Juan Manuel ; Ramos, Gustavo ; Ovalle, Andres

  • Author_Institution
    Sch. of Eng., Electr. & Electron. Eng., Univ. de los Andes, Bogota, Colombia
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an expert system-based methodology to evaluate impacts of voltage sags on industrial power systems from the end user point of view, in order to make decisions based on financial assessment. Causes and effects of the phenomena are analyzed and different mitigation solutions are taken into account. Three industries are studied and results show the best cost-effective solution for each case. In order to evaluate all information required for the methodology, a graphic software tool is designed as a platform to introduce new evidence to the Bayesian structure, to update costs involved and to present results in a simple way.
  • Keywords
    decision making; expert systems; power supply quality; power system economics; Bayesian structure; decision making; expert systems; financial assessment; graphic software tool; industrial power systems; voltage sags economic impact; Circuit faults; Industries; Maintenance engineering; Power quality; Production; Uninterruptible power systems; Influence Diagrams; Power Quality monitoring; Voltage Sags impact;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652194
  • Filename
    6652194