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Conceptual design of a multi-agent system for interconnected power systems restoration

Journal Article


Abstract


  • Outages and faults in interconnected power systems

    may cause cascading sequences of events, and catastrophic failures

    of power systems. How to efficiently manage power systems and

    restore the systems from faults is a challenging research issue in

    power engineering. Multi-agent systems are employed to address

    such a challenge in recent years. A centralized coordination

    strategy was firstly introduced to manage agents in a power

    system. Such a strategy usually adopts a single central coordinator

    to control the whole system for system management, maintenance,

    and restoration purposes. However, disadvantages such as

    deficiencies in robustness, openness, and flexibility prevent this

    strategy from extensive online applications. Consequently, a decentralized

    coordination strategy was proposed to overcome such

    limitations. But the decentralized coordination strategy cannot

    efficiently provide a global solution when serious faults spread

    out in a power system. In this paper, a conceptual multi-agent

    system design is introduced to express our proposal in power

    system modeling. A novel dynamic team forming mechanism is

    proposed to dynamically manage agents in power system with a

    flexible coordination structure, so as to balance the effectiveness

    and efficiency of the introduced multi-agent system. The results

    from simulations of case studies indicate the performance of the

    proposed multi-agent model.

Publication Date


  • 2012

Citation


  • Ren, F., Zhang, M., Soetanto, D. & Su, X. (2012). Conceptual design of a multi-agent system for interconnected power systems restoration. IEEE Transactions on Power Systems, 27 (2), 732-240.

Scopus Eid


  • 2-s2.0-84862829108

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/47

Has Global Citation Frequency


Number Of Pages


  • -492

Start Page


  • 732

End Page


  • 240

Volume


  • 27

Issue


  • 2

Place Of Publication


  • United States

Abstract


  • Outages and faults in interconnected power systems

    may cause cascading sequences of events, and catastrophic failures

    of power systems. How to efficiently manage power systems and

    restore the systems from faults is a challenging research issue in

    power engineering. Multi-agent systems are employed to address

    such a challenge in recent years. A centralized coordination

    strategy was firstly introduced to manage agents in a power

    system. Such a strategy usually adopts a single central coordinator

    to control the whole system for system management, maintenance,

    and restoration purposes. However, disadvantages such as

    deficiencies in robustness, openness, and flexibility prevent this

    strategy from extensive online applications. Consequently, a decentralized

    coordination strategy was proposed to overcome such

    limitations. But the decentralized coordination strategy cannot

    efficiently provide a global solution when serious faults spread

    out in a power system. In this paper, a conceptual multi-agent

    system design is introduced to express our proposal in power

    system modeling. A novel dynamic team forming mechanism is

    proposed to dynamically manage agents in power system with a

    flexible coordination structure, so as to balance the effectiveness

    and efficiency of the introduced multi-agent system. The results

    from simulations of case studies indicate the performance of the

    proposed multi-agent model.

Publication Date


  • 2012

Citation


  • Ren, F., Zhang, M., Soetanto, D. & Su, X. (2012). Conceptual design of a multi-agent system for interconnected power systems restoration. IEEE Transactions on Power Systems, 27 (2), 732-240.

Scopus Eid


  • 2-s2.0-84862829108

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/47

Has Global Citation Frequency


Number Of Pages


  • -492

Start Page


  • 732

End Page


  • 240

Volume


  • 27

Issue


  • 2

Place Of Publication


  • United States