• DocumentCode
    2532883
  • Title

    A model to incorporate Demand Response Programs in Security Constrained Unit Commitment

  • Author

    Olamaei, Javad ; Khademi, Mohammad Mehdi ; Arjomand, Abdolsaheb

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2015
  • fDate
    3-5 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The ISO implements Security Constraint Unit Commitment (SCUC) for clearing of day-ahead market. In this paper, SCUC is also used for simultaneous clearing of energy and reserve market. Spinning reserve and of generating units and Demand Response Programs (DRPs) are considered as system operating reserves in the proposed model. A Mixed Integer Programming model is proposed for power system modeling along with DRPs. The proposed model is applied to the IEEE RTS to demonstrate its effectiveness. The results show that the use of DRPs´ reserve, reduce the system operation costs and have high impact in reliability improvement and reduction in market clearing price in critical or peak hours.
  • Keywords
    IEEE standards; cost reduction; demand side management; integer programming; power generation dispatch; power generation reliability; power generation scheduling; power markets; power system security; power system simulation; DRP; IEEE RTS; ISO; SCUC; demand response program; market clearing price reduction; mixed integer programming model; operation cost reduction; power system modeling; power system reliability improvement; security constrained unit commitment; Load management; Load modeling; Mathematical model; Optimization; Power system reliability; Reliability; Demand Response Programs (DRPs); Expected energy not served (EENS); Simultaneous energy and reserve market; Two-stage stochastic programming; security constraint unit commitment (SCUC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4799-6064-4
  • Type

    conf

  • DOI
    10.1109/IEOM.2015.7093760
  • Filename
    7093760