• DocumentCode
    1762306
  • Title

    Distributed Security-Constrained Unit Commitment for Large-Scale Power Systems

  • Author

    Kargarian, Amin ; Yong Fu ; Zuyi Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    42186
  • Firstpage
    1925
  • Lastpage
    1936
  • Abstract
    Independent system operators (ISOs) of electricity markets solve the security-constrained unit commitment (SCUC) problem to plan a secure and economic generation schedule. However, as the size of power systems increases, the current centralized SCUC algorithm could face critical challenges ranging from modeling accuracy to calculation complexity. This paper presents a distributed SCUC (D-SCUC) algorithm to accelerate the generation scheduling of large-scale power systems. In this algorithm, a power system is decomposed into several scalable zones which are interconnected through tie lines. Each zone solves its own SCUC problem and a parallel calculation method is proposed to coordinate individual D-SCUC problems. Several power systems are studied to show the effectiveness of the proposed algorithm.
  • Keywords
    optimisation; power generation dispatch; power generation economics; power generation scheduling; power markets; power system interconnection; power system security; D-SCUC algorithm; distributed SCUC algorithm; distributed security constrained unit commitment; economic generation schedule; electricity markets; large scale power systems; secure generation schedule; tie line interconnection; Indexes; Joining processes; Linear programming; Optimization; Power systems; Scheduling; Vectors; Distributed solution algorithm; electricity market; security-constrained unit commitment;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2360063
  • Filename
    6917065