• DocumentCode
    1539548
  • Title

    An Algorithm for Intelligent Home Energy Management and Demand Response Analysis

  • Author

    Pipattanasomporn, Manisa ; Kuzlu, Murat ; Rahman, Saifur

  • Author_Institution
    Adv. Res. Inst., Virginia Tech, Arlington, VA, USA
  • Volume
    3
  • Issue
    4
  • fYear
    2012
  • Firstpage
    2166
  • Lastpage
    2173
  • Abstract
    A home energy management (HEM) system is an integral part of a smart grid that can potentially enable demand response applications for residential customers. This paper presents an intelligent HEM algorithm for managing high power consumption household appliances with simulation for demand response (DR) analysis. The proposed algorithm manages household loads according to their preset priority and guarantees the total household power consumption below certain levels. A simulation tool is developed to showcase the applicability of the proposed algorithm in performing DR at an appliance level. This paper demonstrates that the tool can be used to analyze DR potentials for residential customers. Given the lack of understanding about DR potentials in this market, this work serves as an essential stepping-stone toward providing an insight into how much DR can be performed for residential customers.
  • Keywords
    energy management systems; power consumption; DR potentials; demand response analysis; household power consumption; intelligent HEM algorithm; intelligent home energy management; residential customers; Coils; Home appliances; Load management; Load modeling; Power demand; Space cooling; Water heating; Customer choice; demand response (DR); home energy management (HEM); load priority; smart appliance;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2201182
  • Filename
    6217295