• DocumentCode
    2067940
  • Title

    Coordinated home energy management for real-time power balancing

  • Author

    Tsung-Hui Chang ; Alizadeh, M. ; Scaglione, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes a coordinated home energy management system (HEMS) architecture where the distributed residential units cooperate with each other to achieve real-time power balancing. The economic benefits for the retailer and incentives for the customers to participate in the proposed coordinated HEMS program are given. We formulate the coordinated HEMS design problem as a dynamic programming (DP) and use approximate DP approaches to efficiently handle the design problem. A distributed implementation algorithm based on the convex optimization based dual decomposition technique is also presented. Our focus in the current paper is on the deferrable appliances, such as Plug-in (Hybrid) Electric Vehicles (PHEV), in view of their higher impact on the grid stability. Simulation results shows that the proposed coordinated HEMS architecture can efficiently improve the real-time power balancing.
  • Keywords
    convex programming; dynamic programming; energy management systems; hybrid electric vehicles; incentive schemes; HEMS; convex optimization based dual decomposition technique; coordinated home energy management system; distributed implementation algorithm; distributed residential units; dynamic programming; economic benefits; grid stability; incentives; plug-in hybrid electric vehicles; real time power balancing; Computer architecture; Electricity; Energy management; Home appliances; Load modeling; Optimization; Real-time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345639
  • Filename
    6345639