• DocumentCode
    2114
  • Title

    Responsive End-User-Based Demand Side Management in Multimicrogrid Environment

  • Author

    Nunna, Kumar H. S. V. S. ; Doolla, Suryanarayana

  • Author_Institution
    Dept. of Energy Sci. & Eng., Indian Inst. of Technol., Bombay, Mumbai, India
  • Volume
    10
  • Issue
    2
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1262
  • Lastpage
    1272
  • Abstract
    This paper presents an agent-based demand side management framework (ADSMF) as an intelligent solution to shorten the supply-demand gap in microgrids by forming virtual market environments that allow neighboring microgrids to trade with each other. The framework does two essential tasks: 1) routing power from surplus locations to deficit locations by effectively coordinating with distributed energy resources (DERs); and 2) enabling customers´ participation in electricity enterprise through demand response (DR). The low preference loads of the end-users are grouped into two categories, viz. shiftable and curtailable loads, according to the level of flexibility involved in their operation. Also, three smart DR options are identified to allow the customers to choose as per their requirement. The customer´s participation is encouraged through a priority-based incentive mechanism. The proposed incentive mechanism uses frequency of participation of customers in DR and their contribution to benefit gained by the overall system to cater the incentives. The feasibility of the framework is demonstrated by applying on a case study network with two grid-tied microgrids simulated using Java Agent DEvelopment framework (JADE). The extensive simulation studies on the test network have proved the applicability and effectiveness of the proposed agent-based framework in mitigating the supply-demand gap in multimicrogrid environment.
  • Keywords
    demand side management; distributed power generation; energy resources; incentive schemes; power markets; DER; DR options; JADE; Java agent development framework; customer participation; demand response; distributed energy resources; electricity enterprise; grid-tied microgrids; multimicrogrid environment; priority-based incentive mechanism; responsive end-user-based demand side management; supply-demand gap; virtual market environments; Contracts; Electricity; Energy storage; Home appliances; Intelligent agents; Load management; Microgrids; Demand side management (DSM); distributed storage multiagent systems; energy markets simulation; smart microgrids;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2307761
  • Filename
    6747312