• DocumentCode
    1354158
  • Title

    Global Minimization of Financial Losses Due to Voltage Sags With FACTS Based Devices

  • Author

    Milanovic, Jovica V. ; Zhang, Yan

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • Volume
    25
  • Issue
    1
  • fYear
    2010
  • Firstpage
    298
  • Lastpage
    306
  • Abstract
    FACTS based devices are proven to be an efficient mitigation solution for voltage sag prevention. The high cost of FACTS based devices often prohibits their wider deployment within power networks. This paper presents an approach for comprehensively assessing the financial benefits to the network resulting from their use. The annual financial losses of the entire network due to voltage sags are used as a savings target. The three most widely used FACTS based devices for voltage sag mitigation, namely, static VAr compensator (SVC), static compensator (STATCOM) and dynamic voltage restorer (DVR) are then optimally placed using a Niching genetic algorithm (NGA). The aim is to reduce overall financial losses in the network due to voltage sags. The cost of the individual devices along with their installation costs and annual maintenance are taken into account in the optimization procedure. Since this methodology is largely based on an economic evaluation of the solution, several conventional economic analysis methods are utilized. Simulations are performed on a 295-bus generic distribution network (GDN).
  • Keywords
    flexible AC transmission systems; genetic algorithms; power supply quality; power system economics; static VAr compensators; FACTS based devices; Niching genetic algorithm; STATCOM; dynamic voltage restorer; economic analysis methods; financial losses; generic distribution network; power networks; static VAr compensator; static compensator; voltage sag mitigation; voltage sag prevention; Dynamic voltage restorer; FACTS; SVC; genetic algorithm; power quality; static compensator; voltage sags;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2035419
  • Filename
    5352295