• DocumentCode
    2061978
  • Title

    An innovative proposal for electrical loads shedding in conditions of limitation of the power availability

  • Author

    Lamedica, R. ; Santini, E. ; Romito, D.Z.

  • Author_Institution
    Dept. of Astronaut., Electr. & Energetic Eng., Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In electric energy distribution, emergency power supply is of primary importance. If a decrease in the available electrical power is shown, not all the devices can continue to be fed. Emergency power systems, in general, are designed to supply a limited part of the existing devices. Moreover, backup systems cannot “follow” the technological evolution of the plant. Conventional control systems adopt as unique action the switching off of standard loads. The aim of this paper is to provide a strategy for the load management through the selection of loads in the local smart grid as a function of the total available power. A method of control through the application of the 0-1 Knapsack Problem is proposed. The solution relies on three different algorithms and implementations: a greedy and heuristic, the Tabu Search and the dynamic programming. In order to evaluate the performances of the method, a case study is discussed.
  • Keywords
    dynamic programming; emergency power supply; heuristic programming; load management; load shedding; power engineering computing; search problems; smart power grids; conventional control systems; dynamic programming; electric energy distribution; electrical loads shedding; electrical power; emergency power supply; greedy programming; heuristic programming; innovative proposal; knapsack problem; load management; local smart grid; power availability; standard loads; tabu search; Dynamic programming; Floors; Heuristic algorithms; Power systems; Software; Software algorithms; Algorithm design and analysis; Decision support systems; Energy management; Heuristic algorithms; Innovation management; Optimization methods; Smart grids; Software development management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345428
  • Filename
    6345428