Power system state estimation considering measurement dependencies Articles uri icon

publication date

  • November 2009

start page

  • 1875

end page

  • 1885


  • 4


  • 24

International Standard Serial Number (ISSN)

  • 0885-8950

Electronic International Standard Serial Number (EISSN)

  • 1558-0679


  • State estimation measurements within a substation are routinely considered Gaussian and independent. In this paper, the questionable independence assumption is dropped and a statistical procedure is proposed to estimate the measurement variance-covariance matrix. The well-known weighted least squares technique for estimation is then modified to take into account measurement dependencies. Two case studies are analyzed and conclusions duly drawn.


  • Electronics
  • Environment


  • dependent gaussian measurements; power system state estimation; weighted least square