• DocumentCode
    3666045
  • Title

    Information theoretic index for regime shifts in power systems

  • Author

    Lingyu Ren;Peng Zhang;Hua Ye

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A regime shift occurs when a dynamical system´s state shifts from a nominal equilibrium to an alternative equilibrium. This concept is often used to describe the collapse of ecological systems, but it also appears in many engineering systems; most notably in the voltage collapse of power systems. This paper uses an information theoretic index known as the Fisher Information (FI) as a real-time statistical index detecting regime shifts in a stressed IEEE 118 bus system. These preliminary experiments demonstrate that the FI index indeed provide early warning of abnormal operations leading to voltage instability. As a data driven method the proposed FI index provides a useful tool supporting the real-time monitoring of power system operations.
  • Keywords
    "Power system stability","Indexes","Voltage measurement","Detectors","Mathematical model","Real-time systems","Resilience"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286525
  • Filename
    7286525