• DocumentCode
    3249270
  • Title

    Power system structure and confidentiality preserving transformation of Optimal Power Flow problem

  • Author

    Borden, Alexander R. ; Molzahn, D.K. ; Lesieutre, Bernard C. ; Ramanathan, Parmesh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    1021
  • Lastpage
    1028
  • Abstract
    In this paper we present a method to transform optimal power flow models to enable the sharing of equivalent data sets while preserving privacy of an original data set. Importantly, the generated models preserve a power system structure with certain characteristics chosen by the developer. The needed transformations are presented on the DC Optimal Power Flow (OPF) model.
  • Keywords
    load flow; DC optimal power flow problem; OPF; confidentiality preserving transformation; original data set privacy; power system structure; Generators; Lead; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4799-3409-6
  • Type

    conf

  • DOI
    10.1109/Allerton.2013.6736637
  • Filename
    6736637
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3249270