• DocumentCode
    1717631
  • Title

    Application of Niching Genetic Algorithms in System-wide Voltage Sag Mitigation Studies

  • Author

    Zhang, Yan ; Milanovic, J.V.

  • Author_Institution
    Electr. & Electron. Eng., Univ. of Manchester, Manchester
  • fYear
    2007
  • Firstpage
    1515
  • Lastpage
    1521
  • Abstract
    The paper presents an approach to optimally select and allocate flexible AC transmission system (FACTS) devices in distribution network in order to minimize the number of voltage sags at network buses. The method proposed is based on optimization of pre-selected objective function using niching genetic algorithms (NGA). The objective of the optimization is to achieve the improvement in overall system sag performance of the network. Using proposed NGA based optimization, multiple solutions are found with optimized location, type and rating of six (in total) FACTS devices. Three types of FACTS devices are implemented in this study, namely, static VAr compensator (SVC), static compensator (STATCOM) and dynamic voltage restorer (DVR). The performance of the proposed algorithm is tested and illustrated on 295-bus generic distribution system (GDS).
  • Keywords
    distribution networks; flexible AC transmission systems; genetic algorithms; power supply quality; static VAr compensators; 295-bus generic distribution system; FACTS; distribution network; dynamic voltage restorer; flexible AC transmission system; niching genetic algorithms; static VAr compensator; system-wide voltage sag mitigation studies; Automatic voltage control; Genetic algorithms; Power quality; Power system harmonics; Power system reliability; Power system simulation; Power system stability; Power systems; Static VAr compensators; Voltage fluctuations; DVR; FACTS; Genetic Algorithms; STATCOM; SVC; power quality; voltage sags;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538540
  • Filename
    4538540