• DocumentCode
    151741
  • Title

    Load shedding through optimal power flow to support self-healing actions in distribution feeders

  • Author

    Ferreira, Lucas R. ; Siebert, Luciano C. ; Aoki, Alexandre R. ; Fernandes, Thelma S. P.

  • Author_Institution
    LACTEC, Inst. of Technol. for Dev., Curitiba, Brazil
  • fYear
    2014
  • fDate
    10-13 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    One of the main characteristics of the smart grid is the implementation and development of tools that allow the minimization of system vulnerability as well as an increase in security, reliability and power quality in distribution systems. This paper presents the development of a methodology to support self-healing through demand-side management (load shedding). This methodology allows the self-healing system to restore more loads when compared to traditional methods, through the indication of loads to shed in each bus of the distribution system, taken into account power quality constraints. The methodology was implemented using a Binary Particle Swarm Optimization (BPSO) to self-healing switching determination and Optimal Power Flow (OPF) for the load shedding scheme. The methodology proved to be able to restore more load in an optimal way, minimizing losses and assuring power quality.
  • Keywords
    demand side management; distribution networks; load flow; load shedding; particle swarm optimisation; power supply quality; smart power grids; BPSO; OPF; binary particle swarm optimization; demand-side management; distribution feeders; distribution systems; load shedding scheme; optimal power flow; power quality constraints; self-healing system; smart grid; system vulnerability; Circuit breakers; Load flow; Optimization; Power quality; Smart grids; Substations; Switches; binary particle swarm optimization; load shedding; optimal power flow; self-healing; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4799-6250-1
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2014.6955243
  • Filename
    6955243