• DocumentCode
    3764766
  • Title

    Strategic plug load management system for smart buildings with rooftop photovoltaic system

  • Author

    Prakash Sharma;Srikanth Reddy;Sandeep Shrivastava;Rajesh Kumar

  • Author_Institution
    Centre for Energy and Environment, MNIT Jaipur, INDIA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Demand side management (DSM) is an important aspect of modern smart grid with multi beneficiary nature in providing techno-economic benefits for consumer as well as utility. Consumers are allowed to make regulation in their energy consumption through informed decisions and utility can exploit the benefits like peak shaving, load levelling etc. Plug loads comprises a considerable amount of load in residential, office buildings and their parasitic load consumption when operating in non-active modes results in considerable energy consumption. In this paper, potential benefits of plug load management along with load shifting in DSM are examined. In addition to shift able and non-shift able in loads in load shifting, plug loads are classified into critical, non-critical loads and are managed based on their energy consumption to improve energy efficiency aspects of DSM. Further, algorithms for load shifting and plug load management for standby consumptions based on load priority are developed and applied. Simulation results are presented and discussed for various control strategies. Results demonstrates the effectiveness of proposed strategies to manage parasitic/standby loads in reducing overall energy demand and cost of energy. Results reveals the fact that, though parasitic loads of individual equipment are quite low compared to active load range, when controlled in aggregated nature can deliver potential benefits in making modern smart grid more sustainable through DSM.
  • Keywords
    "Plugs","Load management","Buildings","Energy consumption","Smart grids","Artificial intelligence","Home appliances"
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2015 Annual IEEE
  • Electronic_ISBN
    2325-9418
  • Type

    conf

  • DOI
    10.1109/INDICON.2015.7443466
  • Filename
    7443466