• DocumentCode
    238361
  • Title

    A BDI multi-agent approach for power restoration

  • Author

    Qiangguo Ren ; Li Bai ; Biswas, Santosh ; Ferrese, Frank ; Qing Dong

  • Author_Institution
    Electr. & Comput. Eng., Temple Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The objective of this paper is to design and develop a Belief-Desire-Intention (BDI) agent-based approach for power system restoration. We describe a multiple bus electrical power system (multi-bus power system) as a market environment that consists of BDI bus agents representing two different characters, consumer and producer. These bus agents are able to balance the power system between power generation and load consumption while consumers explore the market and trade the power resource with producers. In addition, the power system will be naturally and efficiently split into power branches by the bus agents. When a fault occurs in the system, the bus agents can maximize the capacity of the served loads or minimize the loss of power loads (when load shedding may be the only option) in a timely manner. The proposed BDI multi-agent approach can be applied to any size or structure of the multi-bus power systems. It is shown from our simulation and results comparison that the proposed approach becomes more effective and efficient when the scale of the multi-bus power system expands.
  • Keywords
    load management; load shedding; multi-agent systems; power engineering computing; power generation faults; power system restoration; BDI multiagent approach; belief-desire-intention agent-based approach; bus agents; load consumption; load shedding; multiple bus electrical power system; power generation; power load loss minimization; power resource; power system balancing; power system restoration; served load capacity maximization; Circuit faults; Generators; Load flow; Load modeling; Power demand; Power system stability; BDI Agents; Load shedding; Multi-agent System; Power Load Restoration; Power System Splitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Resilient Control Systems (ISRCS), 2014 7th International Symposium on
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ISRCS.2014.6900105
  • Filename
    6900105