• DocumentCode
    1355184
  • Title

    Ordering Electricity via Internet and its Potentials for Smart Grid Systems

  • Author

    Jin, Tongdan ; Mechehoul, Mahmoud

  • Author_Institution
    Ingram Sch. of Eng., Texas State Univ., San Marcos, TX, USA
  • Volume
    1
  • Issue
    3
  • fYear
    2010
  • Firstpage
    302
  • Lastpage
    310
  • Abstract
    The Internet has evolved into a ubiquitous communication medium for information exchanges, services requests, and commodity purchasing. This paper proposes the concept, architecture, and the customer incentives for implementing a new demand-side management system called Online Purchase Electricity Now (OPEN). The new system allows customers to directly order the electricity via the Internet as if purchasing a book online. Utility companies, after consolidating the customers´ orders, decide an optimal generation and distribution scheme to satisfy customers´ demands. The time epoch between the customers´ order and the actual generation acts as the lead time during which virtual energy will be scheduled for production. Such a virtual energy provisioning system can improve the reliability and stability of the electric grid which is increasingly integrated with distributed energy resources. Bayesian theory, hypothesis testing, and dynamic pricing are employed to justify the feasibility and applicability of the OPEN system.
  • Keywords
    Internet; belief networks; demand side management; power markets; smart power grids; ubiquitous computing; Bayesian theory; Internet; demand side management system; dynamic pricing; electricity ordering; hypothesis testing; online purchase electricity now; smart grid systems; ubiquitous communication medium; utility companies; Bayesian methods; Internet; Predictive models; Pricing; Demand-side management; dynamic pricing; hypothesis testing; online energy purchase; smart metering; virtual energy provisioning;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2010.2072995
  • Filename
    5605282