• DocumentCode
    3469624
  • Title

    Reconfiguration of distribution systems for stability margin enhancement using tabu search

  • Author

    Guimarães, Marcos A N ; Lorenzeti, Jorge E C ; Castro, Carlos A.

  • Author_Institution
    State Univ. of Campinas, Brazil
  • Volume
    2
  • fYear
    2004
  • fDate
    21-24 Nov. 2004
  • Firstpage
    1556
  • Abstract
    The reconfiguration of distribution systems is usually done to minimize real power losses, or to balance the load among feeders. Many reconfiguration methods based on heuristics, optimization, different kinds of artificial intelligence, and evolutive programming can be found in the literature. Similarly to transmission systems, distribution systems are also likely to experience voltage instability problems, especially during load peak hours in predominantly industrial areas. In this paper a reconfiguration algorithm based on tabu search for maximizing the security margin to voltage collapse (or loading margin) is proposed. Tabu search is a technique that consists basically of generating a number of appropriate possible configurations and choosing those that present desired characteristics as far as the objective to be attained is concerned. The evaluation of the different configurations is done with the help of voltage stability indices. In particular, an index that can be obtained with very small computational effort yet provides important information about the systems´ stability condition was chosen. Simulation tests were conducted with small test to large realistic systems. The results have shown that the proposed method is very efficient and system configurations with the maximum loading margins and near-minimum real power losses are obtained, A comparison between adopting real power losses minimization and loading margin maximization is done. Moreover, a procedure for switching between those two objectives as a function of the total load daily curve is proposed.
  • Keywords
    artificial intelligence; distribution networks; losses; optimisation; power system analysis computing; power system dynamic stability; search problems; transmission networks; artificial intelligence; distribution systems; feeders; optimization; power losses; stability margin; switching; tabu search; transmission systems; voltage collapse; voltage stability indices; Character generation; Circuit stability; Computational modeling; Optimization methods; Power system planning; Power system security; Power system stability; Switches; System testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
  • Print_ISBN
    0-7803-8610-8
  • Type

    conf

  • DOI
    10.1109/ICPST.2004.1460251
  • Filename
    1460251