• DocumentCode
    2381210
  • Title

    Identification of parameter errors

  • Author

    Abur, A. ; Zhu, Jun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Accuracy of the network parameters has significant impact on the performance of almost all energy management system applications. Network model is built based on these parameters which are stored in the company´s data base and are not typically inspected unless they are flagged by the user or a software package. Hence, errors associated with network parameters are not easily and commonly detected leading to varying degrees of inaccuracies in the results of network applications that rely on the network data base. This paper reviews some recent methods that are proposed for automatic detection, identification and correction of parameter errors in network data bases.
  • Keywords
    energy management systems; parameter estimation; power system management; power system state estimation; energy management system applications; network applications; network data base; network model; network parameters; parameter error identification; software package; Parameter errors; bad data processing; detection; identification; measurements; network observability; redundancy; state estimation; statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589668
  • Filename
    5589668