• DocumentCode
    1418334
  • Title

    Consumer payment minimization in power pool auctions

  • Author

    Hao, Shangyou ; Angelidis, George A. ; Singh, Harry ; Papalexopoulos, Alex D.

  • Author_Institution
    Pacific Gas & Electr. Co., San Francisco, CA, USA
  • Volume
    13
  • Issue
    3
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    986
  • Lastpage
    991
  • Abstract
    This paper presents a new methodology within the framework of centralized optimization for calculating optimal generation schedules that minimize energy payments by power pool consumers. This paper addresses issues related to market structure and the operation of power pools, such as bid evaluation, generator no-load and start-up cost recovery, generator unit operating constraints, and market clearing price determination. Unlike conventional unit commitment algorithms that minimize total energy production costs, the method presented here minimizes payments by power pool consumers. A payment minimization objective leads to a different unit commitment and dispatch solution, and lower market clearing prices. Additionally, optimal allocation of generator no-load and start-up costs over the scheduling period is integrated in the bid evaluation process, leading to a further reduction in consumer payments
  • Keywords
    costing; load dispatching; power systems; bid evaluation; bid evaluation process; centralized optimization; consumer payment minimization; energy payments minimisation; generator unit operating constraints; market clearing price determination; optimal generation schedules; optimal generator no-load allocation; optimal start-up costs allocation; power exchange; power pool auctions; power pool consumers; start-up cost recovery; Cost function; Job shop scheduling; Minimization methods; Optimization methods; Performance evaluation; Power generation; Power markets; Power system reliability; Production; Standards development;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.709087
  • Filename
    709087