• DocumentCode
    2899266
  • 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
  • fYear
    1997
  • fDate
    11-16 May 1997
  • Firstpage
    368
  • Lastpage
    373
  • 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; economics; load dispatching; minimisation; power system interconnection; tariffs; bid evaluation; consumer payment minimization; generator no-load cost recovery; generator start-up cost recovery; generator unit operating constraint; market clearing price determination; market structure; optimal generation schedules; payment minimization objective; power pool auctions; unit commitment algorithm; Cost function; Electricity supply industry; ISO; Job shop scheduling; Optimization methods; Power generation; Power markets; Production; Signal generators; Supply and demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Applications., 1997. 20th International Conference on
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    0-7803-3713-1
  • Type

    conf

  • DOI
    10.1109/PICA.1997.599427
  • Filename
    599427