• DocumentCode
    572269
  • Title

    Distribution System Fault Recovery with Controllable Distributed Generations

  • Author

    Wang, Chong ; Liu, Haoming ; Hou, Yunhe

  • Author_Institution
    Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the increasing installed capacity of distributed generators (DGs) in distribution systems, its impact on distribution systems is becoming more significant. The conventional methods for distribution systems fault recovery have to be upgraded due to more DGs integration. In this paper, a novel restoration strategy with a two-stage process is proposed. In the first stage, islands are established with power supplied from DGs. In the second stage, the islands formed in first stage will be modeled as dispatchable loads. These dispatchable loads and other traditional loads that are not within the islands will be restored together. This problem described as a multi-objective problem with the minimal system loss, number of switch operation and potential loss of loads. Fast elitist non-dominated sorting partheno-genetic algorithm is employed to solve this multi-objective problem. IEEE 33-bus system is used as an example. The results show that the models and algorithms proposed in this paper is efficient.
  • Keywords
    IEEE standards; distributed power generation; genetic algorithms; load dispatching; power distribution faults; DG; IEEE 33-bus system; controllable distributed generations; dispatchable loads; distribution system fault recovery; elitist nondominated sorting partheno-genetic algorithm; minimal system loss; multiobjective problem; restoration strategy; two-stage process; Biological cells; Equations; Generators; Load modeling; Mathematical model; Sorting; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307491
  • Filename
    6307491