• DocumentCode
    648287
  • Title

    A dynamic programming approach for optimal allocation of maintenance resources on power distribution networks

  • Author

    Bacalhau, Eduardo Tadeu ; Usberti, Fabio Luiz ; Lyra, Christiano

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Campinas, Campinas, Brazil
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A relevant research topic in optimization of power distribution networks is to find the best relationship between system reliability and the allocation of maintenance resources. This paper presents a mathematical formulation that seeks the optimal preventive maintenance budget regarding the system reliability constraints. A dynamic programming approach is proposed to deal with this optimization problem. Some reductions are applied to the dynamic programming approach in order to avoid the combinatorial explosion. Case studies are presented to compare the performance of the dynamic programming approach with a hybrid genetic algorithm previously developed.
  • Keywords
    distribution networks; dynamic programming; genetic algorithms; resource allocation; combinatorial explosion; dynamic programming approach; hybrid genetic algorithm; maintenance resources; mathematical formulation; optimal allocation; optimal preventive maintenance budget; optimization problem; power distribution networks; system reliability; Dynamic programming; Optimization; Planning; Power systems; Preventive maintenance; Reliability; dynamic programming; maintenance optimization; power distribution systems; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672861
  • Filename
    6672861