• DocumentCode
    1084320
  • Title

    Reliability evaluation of hybrid power markets based on multiple transaction matrix and optimal transaction curtailment

  • Author

    Goel, Lavika ; Viswanath, P.A. ; Wang, Peng

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
  • Volume
    1
  • Issue
    1
  • fYear
    2007
  • fDate
    1/1/2007 12:00:00 AM
  • Firstpage
    65
  • Lastpage
    71
  • Abstract
    A Monte Carlo simulation technique evaluates the reliability indices of restructured power systems with a hybrid market. A model for optimal transaction curtailment for a contingency state in a hybrid market is developed to incorporate the changes brought about by deregulation. The objective of the contingency optimal transaction curtailment for each individual generation company is to minimise its revenue loss. The problem is formulated as a linear programming problem and solved using an optimisation technique. Customer load curtailment, which is the basic parameter for reliability evaluation, is determined using a load-shedding philosophy which is based on the results of the optimal transaction curtailment by the genco. Supply and demand transactions of the market participants are represented by a transaction matrix. The impact of the firm and nonfirm bilateral and reserve contracts on customer reliabilities have been studied. The technique has been illustrated by application to the IEEE Reliability Test System.
  • Keywords
    Monte Carlo methods; linear programming; load shedding; power markets; power system reliability; power system simulation; supply and demand; IEEE Reliability Test System; Monte Carlo simulation technique; contingency state; customer load curtailment; deregulation; firm contracts; hybrid power markets; linear programming problem; load-shedding philosophy; multiple transaction matrix; nonfirm bilateral contracts; optimal transaction curtailment; optimisation technique; reliability indices evaluation; reserve contracts; restructured power systems; supply and demand transactions;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd:20050166
  • Filename
    4082369