• DocumentCode
    2098302
  • Title

    MAS-Based Restorative Control of Urban Power Network

  • Author

    Liu, Haoming ; Zhang, Linying ; Yu, Kun ; Chen, Xinying

  • Author_Institution
    Coll. of Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One of the essential objectives of restorative control of urban power network (UPN) is to pick up the lost load as much and quickly as possible. The definition of restorative control of modern UPN is presented followed the explanation of the special characteristics of UPN. Then the multi-agent system (MAS) technology is introduced to establish the framework of restorative control. Several agents, such as restorative management agent, data pre-processing agent, fault location agent, restorative reconfiguration agent, reactive power and voltage optimization agent, and equipment operation sequence agent are involved. The structure inside each agent and the communication method between the agents are discussed. At last, a practical UPN case is implemented here, and the simulation results show that the proposed restorative control strategy is feasible and suitable to be used on-line for UPN.
  • Keywords
    control engineering computing; fault location; multi-agent systems; power distribution control; power engineering computing; power system restoration; power transmission control; MAS-based restorative control; data preprocessing agent; multiagent system; restorative control strategy; restorative management agent; urban power network; voltage optimization agent; Communication system control; Control systems; Energy management; Multiagent systems; Power system control; Power system reliability; Power system restoration; Power system stability; Read-write memory; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448618
  • Filename
    5448618