• DocumentCode
    2377256
  • Title

    Optimal placement of PMUs for identification of power system models using noisy measurement data

  • Author

    Chakrabortty, Aranya ; Szczodrak, Marta A.

  • Author_Institution
    Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper we address the problem of placing Phasor Measurement Units (PMUs) on a long transmission line connecting two areas of a power system network. Dynamic measurements of electrical signals such as magnitudes and phases of bus voltages and line currents, corrupted with Gaussian noise, are available from these PMUs. Our objective is to determine the best locations for their placement such that, given a particular measured noisy signal, the error in identifying a two-machine interarea equivalent model of the two-area power system is minimum. We first show that the identification problem is equivalent to estimating four essential model parameters, namely the two intra-area reactances, and the inertias of the two aggregated machines. We then formulate the Cramer-Rao bounds for the estimates of these four unknown parameters, and show that the bounds are functions of the PMU location. We finally state the condition for finding the optimal PMU location to achieve the tightest Cramer-Rao bound.
  • Keywords
    phase measurement; power system measurement; power transmission lines; Cramer-Rao bound estimation; PMU optimal placement; error identification; noisy measurement data; phaser measurement units; power system network; transmission lines; two-machine interarea equivalent model; Cramer-Rao bound; Phasor measurements; parameter estimation; swing equation;
  • 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.2010.5589445
  • Filename
    5589445