• DocumentCode
    3760098
  • Title

    Joint day-ahead energy and reserve scheduling model with demand response

  • Author

    Zhen Zhang;Ming Zhou;Qian Xu;Liying Sun

  • Author_Institution
    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
  • fYear
    2015
  • Firstpage
    114
  • Lastpage
    120
  • Abstract
    Two demand response (DR) programs, namely, load reduction demand response (LRDR) program and load transfer demand response (LTDR) program are both incorporated into the day-ahead scheduling in this paper. The LRDR participants provide load curtailment in energy scheduling and reserve capacity in spinning reserve scheduling while the LTDR customers participate in energy scheduling by providing load shift resources. Compared to basic DR models, the proposed models of LRDR and LTDR are extended with a refined description by adding various constraints in the offer package. The actual operation characteristics of DR resources are reflected in the models. Besides, the day-ahead scheduling mode with DR is studied. Finally, a co-optimized day-ahead energy/reserve scheduling model integrated with DR which simultaneously schedules energy and reserve is established. The effectiveness of the proposed day-ahead scheduling model is verified on a modified IEEE 118-bus system.
  • Keywords
    "Niobium","Decision support systems","Power industry","Spinning","Time factors","Linear programming","Load management"
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
  • Type

    conf

  • DOI
    10.1109/DRPT.2015.7432221
  • Filename
    7432221