• DocumentCode
    3400204
  • Title

    Short-Term Transmission Maintenance Scheduling Based on the Benders Decomposition

  • Author

    Lv, Changlin ; Wang, Jianxue ; Sun, Pei

  • Author_Institution
    Sch. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes the model of short-term transmission maintenance scheduling to minimize the maintenance cost. In this model, maintenance cost is composed of transmission maintenance cost and load loss expectation. Meanwhile, maintenance constraints and system operation constraints are considered in the model. Due to the complexity of the transmission maintenance scheduling, the Benders decomposition is difficult to use directly. This paper analyzes the main difficulties from generation system reliability to transmission system reliability evolution, and presents some measures to improve the Benders decomposition method. Furthermore, this paper introduces a new importance index to choose the critical branches to reduce computational complexity. The proposed method is applied to a test power system. Results of the example demonstrate that the modified Benders decomposition is high efficient in arranging the short-term transmission maintenance.
  • Keywords
    computational complexity; power generation reliability; power generation scheduling; power transmission reliability; Benders decomposition method; computational complexity; generation system reliability; load loss expectation; maintenance constraints; power system testing; short-term transmission maintenance scheduling; system operation constraints; transmission maintenance cost; transmission system reliability; Indexes; Load modeling; Maintenance engineering; Power system reliability; Power transmission lines; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307696
  • Filename
    6307696