• DocumentCode
    2707366
  • Title

    Intelligent Demand Response Scheme for Customer Side Load Management

  • Author

    Dam, Q. Binh ; Mohagheghi, Salman ; Stoupis, James

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2008
  • fDate
    17-18 Nov. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Demand response (DR) provides means for utilities to reduce the power consumption and save energy. Plus, it maximizes utilizing the current capacity of the distribution system infrastructure, reducing or eliminating the need for building new lines and expanding the system. A typical DR program requires two parties to cooperate: the utility and the customers. In this paper a novel intelligent demand response module is designed and proposed to be implemented at the customer side. The primary target of this design is large industrial sized customers that often have several manufacturing/production lines consisting of mostly large electric motors. The proposed DR module design is based on the expert systems theory. Different modules are designed that take the market rates as well as the local load management policy of the customer into account in order to make a decision for reducing the load. The validity of the proposed algorithm is tested on the IEEE 34-bus distribution test feeder in the real-time RT-Lab environment.
  • Keywords
    demand side management; distribution networks; IEEE 34-bus distribution test feeder; RT-Lab environment; current capacity; customer side load management; distribution system; expert systems theory; intelligent demand response; Collaboration; Energy consumption; Energy management; Humans; Load management; Power engineering computing; Production; Testing; Turning; USA Councils; Load management; Smart Grid; demand response; electricity markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy 2030 Conference, 2008. ENERGY 2008. IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-2850-2
  • Electronic_ISBN
    978-1-4244-2851-9
  • Type

    conf

  • DOI
    10.1109/ENERGY.2008.4781013
  • Filename
    4781013