• DocumentCode
    1020628
  • Title

    Decentralized optimal power pricing: the development of a parallel program

  • Author

    Lumetta, S. ; Murphy, Liam ; Xiaoye Li ; Culler, D.C. ; Khalil, Lsmail S.

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    1
  • Issue
    4
  • fYear
    1993
  • Firstpage
    23
  • Lastpage
    31
  • Abstract
    An algorithm for solving a large-scale optimization problem concerning decentralized pricing of electrical power has been implemented. To help abstract the communication and layout requirements of the problem away from the main algorithm, a small object system library has been developed. The results are an efficient and easily modifiable solution to the problem and a general approach to solving this class of problems. The formulation of the problem and the object system are considered in detail.<>
  • Keywords
    costing; parallel programming; power engineering computing; power systems; tariffs; decentralized optimal power pricing; electrical power; large-scale optimization problem; layout requirements; object system library; parallel program; Iterative algorithms; Large-scale systems; Libraries; Parallel programming; Power distribution; Power generation; Power systems; Pricing; Substations; Workstations;
  • fLanguage
    English
  • Journal_Title
    Parallel & Distributed Technology: Systems & Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1063-6552
  • Type

    jour

  • DOI
    10.1109/88.260287
  • Filename
    260287