• DocumentCode
    3263159
  • Title

    Simulation of Market Mechanism in Promoting Demand Side Management by Open-agents Model

  • Author

    Zhang, Kehu ; Ji, Zhaojun ; Tan, Xiandong

  • Author_Institution
    Shandong Water Polytech., Rizhao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    371
  • Lastpage
    374
  • Abstract
    Demand side management (DSM) plays an important role in energy efficiency. How to simulate DSM with market mechanism is important for policy maker and is also a complex issue. The paper studies the impacts of establishing DSM market mechanism with DSM charge in China by an open-agents model. It consists of a government agent, 15 sectoral agents and human experts, open to human experts. The government agent sets forth the strategy for raising electric power price within the scope prescribed by Consumer Price Index (CPI). The industrial sector agent sets forth strategy for maintaining profits after the rise in its costs. The human experts will intervene in all the agents when necessary. The analysis results show that DSM charge by 1% in electricity tariff bill in 2002 would make CPI rise by 0.069, save energy 72.2 TWh, save coal used in thermal power plants around 27.65 Mtce. The energy intensity would be fallen by 1.67%, and around 70 Mt CO2 and other pollutant emissions would be avoided.
  • Keywords
    demand side management; expert systems; government; multi-agent systems; pricing; tariffs; Consumer Price Index; DSM market mechanism; demand side management; electric power price; electricity tariff bill; energy efficiency; government agent; human experts; open-agents model; policy maker; pollutant emissions; sectoral agents; thermal power plants; Artificial intelligence; Computational modeling; Energy management; Government; Humans; Load management; Multiagent systems; Power generation; Power generation economics; Power system modeling; demand side management; intelligent agent; multi-agent system; open-agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.228
  • Filename
    5230957