Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Reactive Power/Voltage Control for Unbalanced Distribution System Using Genetic Algorithms

    Access Status
    Fulltext not available
    Authors
    Ulinuha, A.
    Masoum, Mohammad Sherkat
    Islam, Syed
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Ulinuha, A. and Masoum, M.S. and Islam, S. 2014. Reactive Power/Voltage Control for Unbalanced Distribution System Using Genetic Algorithms, in Australasian Universities Power Engineering Conference, AUPEC 2014, Sep 28 2014. Perth, Australia: IEEE.
    Source Title
    Power Engineering Conference (AUPEC), 2014 Australasian Universities, IEEE Xplore
    Source Conference
    Australasian Universities Power Engineering Conference, AUPEC 2014
    DOI
    10.1109/AUPEC.2014.6966576
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/30850
    Collection
    • Curtin Research Publications
    Abstract

    The unbalanced conditions are taken into account in the Reactive Power/Voltage control of distribution system. The aim of the control is to simultaneously minimize energy loss and improve voltage profile. The control is carried out by optimal dispatch of load tap changers (LTC) and shunt capacitors considering unbalanced conditions. A genetic algorithm (GA) is developed to determine the load curve partition for effective LTC scheduling and switching constraint satisfaction. GA is also appointed to determine the optimal dispatch schedule of the devices and to check the fulfillment of switching constraints prior to performing calculations. For power flow analyses under unbalanced conditions, a forward/backward propagation algorithm is developed. The optimization is implemented on the IEEE 34-bus unbalanced distribution system, and the presented system improvements are highlighted. The main contribution is inclusion of unbalanced system conditions into the optimal dispatch problem considering different daily load curves for the three phases of distribution system.

    Related items

    Showing items related by title, author, creator and subject.

    • Bus voltage ranking and voltage stability enhancement for unbalanced multiphase networks
      Juanuwattanakul, Parachai (2012)
      Voltage instabilities and subsequent system collapses are considered as growing concerns in modern multiphase distribution networks as they are progressively forced to operate closer to their stability limits due to many ...
    • Optimal dispatch of shunt capacitors and load tap changers in distorted distribution systems using ant colony algorithms
      Deilami, Sara (2010)
      This thesis investigates the performances of a class of intelligent system algorithms in solving the volt/VAr/THD control problem for large distribution systems. For this purpose, optimal dispatch of Load Tap Changers ...
    • Comprehensive optimal photovoltaic inverter control strategy in unbalanced three-phase four-wire low voltage distribution networks
      Su, Xiangjing; Masoum, Mohammad Sherkat; Wolfs, P. (2014)
      The continuous expansion of consumer-driven installations of residential rooftop photovoltaic (PV) systems causes serious power quality, notable voltage variations and unbalance, which limit the number and capacity of the ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.