• DocumentCode
    3100776
  • Title

    Distributed generation approach for single step system restoration during cold load pickup

  • Author

    El-Zonkoly, A.M.

  • Author_Institution
    Dept. of Electr. & Control Eng., Arab Acad. for Sci. & Technol., Alexandria, Egypt
  • fYear
    2012
  • fDate
    7-10 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    When a system is restored after an extended outage, the demand is greater than that was before the outage due to the cold load pickup (CLPU) condition. In this paper, a particle swarm optimization (PSO) algorithm is used to find the optimal sizing and siting of distributed generation (DG) units for simultaneous single step restoration of transmission and distribution networks. The aim of the proposed DG allocation algorithm is to reduce the distribution substation transformer loss of life due to overloading and to reduce the lost load and hence the additional power demand caused by CLPU. The capacity of the DG required is determined on the basis of additional power demand and the load diversity preserved. The proposed algorithm is applied to the Egyptian 66 kV transmission network in the city of Alexandria including a 33-bus and a 69-bus, 11 kV primary distribution feeders.
  • Keywords
    distributed power generation; particle swarm optimisation; power system faults; power system restoration; power transformer protection; 33-bus primary distribution feeders; 69-bus primary distribution feeders; CLPU; cold load pickup; distributed generation; distribution substation transformer loss; load diversity; particle swarm optimization; power demand; simultaneous single step restoration; single step system restoration; voltage 11 kV; voltage 66 kV; Linear programming; Load modeling; Loading; Mathematical model; Oil insulation; Substations; Temperature control; Black-out; Distributed generation; Particle swarm optimization; Single step restoration; intentional islanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
  • Conference_Location
    Orlando, FL
  • ISSN
    2160-8555
  • Print_ISBN
    978-1-4673-1934-8
  • Electronic_ISBN
    2160-8555
  • Type

    conf

  • DOI
    10.1109/TDC.2012.6281401
  • Filename
    6281401