• DocumentCode
    1373453
  • Title

    Agent-Based Electricity Market Simulation With Demand Response From Commercial Buildings

  • Author

    Zhou, Zhi ; Zhao, Fei ; Wang, Jianhui

  • Author_Institution
    Argonne Nat. Lab., Argonne, IL, USA
  • Volume
    2
  • Issue
    4
  • fYear
    2011
  • Firstpage
    580
  • Lastpage
    588
  • Abstract
    With the development of power system deregulation and smart metering technologies, price-based demand response (DR) becomes an alternative solution to improving power system reliability and efficiency by adjusting the load profile. In this paper, we simulate an electricity market with DR from different types of commercial buildings by using agent-based modeling and simulation (ABMS) techniques. We focus on the consumption behavior of commercial buildings with different levels of DR penetration in different market structures. The results indicate that there is a noticeable impact from commercial buildings with price-responsive demand on the electricity market, and this impact differs with different scales of DR participation under different levels of market competitions.
  • Keywords
    power engineering computing; power markets; agent-based electricity market simulation; agent-based modeling and simulation techniques; commercial buildings; demand response; power system deregulation; smart metering technologies; Cost function; Electricity supply industry; Energy consumption; Load modeling; Power system planning; Agent-based modeling and simulation; building stock modeling; demand response; electricity market; smart grid;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2168244
  • Filename
    6075309