• DocumentCode
    3656714
  • Title

    Medium-term operation for an industrial customer considering demand side management and risk management

  • Author

    Zhaohao Ding;Piampoom Sarikprueck;Wei-Jen Lee

  • Author_Institution
    Energy Systems Research Center, The University of Texas at Arlington, 76019, USA
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Under a deregulated market environment, industrial customers can participate in multiple markets with different time range to purchase electricity. Transactions in different markets make the industrial customer involve in different level of cost uncertainties and risks. To solve this energy procurement portfolio problem, a medium-term operation model is proposed. The risk-term is measured and managed by mean-variance approach. The uncertainties in the proposed model are characterized by stochastic day-ahead and real-time prices generated based on ERCOT historical data. A sample case study is provided to illustrate and verify the proposed model.
  • Keywords
    "Procurement","Handheld computers","Uncertainty","Portfolios","Real-time systems","Forward contracts"
  • Publisher
    ieee
  • Conference_Titel
    Industrial & Commercial Power Systems Technical Conference (I&CPS), 2015 IEEE/IAS 51st
  • Type

    conf

  • DOI
    10.1109/ICPS.2015.7266401
  • Filename
    7266401