• DocumentCode
    667012
  • Title

    Net energy stored control for residential demand-side management

  • Author

    Croft, Aaron ; Boys, John ; Covic, Grant

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    8033
  • Lastpage
    8038
  • Abstract
    A novel control methodology for automated residential demand-side management (RDSM) is proposed. The methodology utilises the time dimension of consumer power demand to generate a meaningful energy characteristic for each controllable household load. It is supposed that consumer preferences can be reflected entirely within the energy characteristic and hence controlling loads based on energy will result in better outcomes for the consumer. Hence guarantees can be placed on consumer satisfaction, while still near-optimally scheduling the resultant power flows. Simulation results for each second in a day are provided in MATLAB/Simulink for 7 typical New Zealand houses, and show that consumers with electric vehicles can save approximately 17% of their power bill without sacrificing comfort using practical time-of-use pricing rates.
  • Keywords
    demand side management; load flow; power control; MATLAB-Simulink; New Zealand houses; RDSM; automated residential demand-side management; consumer power demand; consumer preferences; consumer satisfaction; controllable household load; electric vehicles; energy characteristic; net energy stored control; resultant power flows; time dimension; time-of-use pricing rates; Communities; Energy storage; Home appliances; Load modeling; Power demand; System-on-chip; Water heating; Automatic control; Decentralized control; Distributed algorithms; Distributed power generation; Energy management; Energy storage; Home automation; Load management; Power demand; Smart grids; Smart homes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700476
  • Filename
    6700476