• DocumentCode
    1645251
  • Title

    Efficient distributed OPF for decentralized power system operations and electricity markets

  • Author

    Costley, Mitch ; Grijalva, Santiago

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper explores the feasibility of fully-distributed architectures for the electric power industry. In such architectures, the various electric power ecosystems interact with each other to achieve their own operational and economic objectives without the need for real-time centralized coordination or optimization. This paper uses an efficient distributed optimal power flow algorithm which is applicable to generic power ecosystem optimization, and it describes the ecosystem interaction protocols for operation and trading. The proposed algorithm is illustrated in detail for a small case, and performance results are provided for a large, realistic-size case. The results provided demonstrate the feasibility of such a distributed architecture that can ultimately scale from interconnections to homes.
  • Keywords
    distributed power generation; load flow; power generation economics; power markets; power system interconnection; decentralized power system operation; distributed optimal power flow algorithm; efficient distributed OPF; electric power ecosystem interaction protocol; electric power industry; electricity market; fully-distributed architecture; generic power ecosystem optimization; optimization; real-time centralized coordination; Control systems; Convergence; Ecosystems; Generators; Load flow; Optimization; Distributed Optimal Power Flow; Distributed Optimization; Electricity Markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175797
  • Filename
    6175797