• DocumentCode
    2014178
  • Title

    Load model effect on distributed generation allocation and feeders´ reconfiguration in unbalanced distribution systems

  • Author

    Zidan, Aboelsood ; Al-Abri, Rashid S. ; El-Saadany, Ehab F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Assiut Univ., Assiut, Egypt
  • fYear
    2015
  • fDate
    1-4 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Limitation of fossil fuels and the environmental constraints established by the Kyoto Protocol and other governmental initiatives caused the allocation of distributed generation (DG) to be a vital pillar in power system planning. Improper selection of the sizing and siting of DG systems can reduce their advantages. Network reconfiguration problem is to find a best configuration of distribution systems that gives minimum energy loss with satisfying the imposed operating constraints. This paper investigates the effect of load model on DG allocation and network reconfiguration problems. The proposed algorithm implemented and tested on the 25-bus unbalanced distribution system and the impact of load models is demonstrated. The constraints involved include voltage limits, line current limits, and radial topology.
  • Keywords
    distributed power generation; distribution networks; government policies; power system planning; DG system; Kyoto protocol; distributed generation allocation; energy loss; environmental constraint; feeder reconfiguration; fossil fuel limitation; governmental initiative; line current limit; load model effect; network reconfiguration problem; power system planning; radial topology; unbalanced distribution system; voltage limit; Distributed power generation; Energy loss; Genetic algorithms; Load modeling; Reactive power; Resource management; DG allocation; distributed generation; distribution system; genetic algorithm; reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th
  • Conference_Location
    Muscat
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2015.7060021
  • Filename
    7060021