• DocumentCode
    742937
  • Title

    The Role of Out-of-Market Corrections in Day-Ahead Scheduling

  • Author

    Al-Abdullah, Yousef M. ; Abdi-Khorsand, Mojdeh ; Hedman, Kory W.

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1937
  • Lastpage
    1946
  • Abstract
    In order to ensure a reliable and continuous supply of electric energy, operators must manage hundreds to thousands of generators with complex operating requirements, maintain synchronism, and manage thousands of transmission assets. Further complications arise due to stringent reliability standards, resource uncertainty, and limited economical energy storage. With advances in algorithmic performance and hardware, such optimization problems still require an engineered and simplified market structure. Market operators must therefore adjust the proposed market solution in order to obtain a valid solution. An overview of existing industry practices related to such market adjustments, referred to as out-of-market corrections, is presented. This paper also analyzes the market implications and required out-of-market corrections for the day-ahead scheduling process. Multiple out-of-market correction algorithms are created and used to analyze the potential impacts on market solutions and settlements. Finally, such solutions are compared against an extensive form stochastic unit commitment solution.
  • Keywords
    flexible AC transmission systems; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power markets; power transmission lines; stochastic programming; algorithmic performance; continuous electric energy supply; day-ahead scheduling process; electric energy reliability; limited economical energy storage; market structure; multiple out-of-market correction algorithms; optimization problems; power generation dispatch; power system economics; power system reliability; resource uncertainty; transmission assets; Approximation methods; Generators; Industries; Job shop scheduling; Power system reliability; Pricing; Reliability; Operations research; power generation dispatch; power system economics; power system reliability;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2353647
  • Filename
    6905864