Robust WLS estimator using reweighting techniques for electric energy systems Articles uri icon

publication date

  • November 2013

start page

  • 9

end page

  • 17

volume

  • 104

International Standard Serial Number (ISSN)

  • 0378-7796

Electronic International Standard Serial Number (EISSN)

  • 1873-2046

abstract

  • The state estimator is a key tool in the operation of any real-world electric energy system. In this paper, a state estimator based on a weighted least squares model is proposed which is robust against outliers. This algorithm presents two relevant features: robustness that is achieved by readjusting measurement weights, and accuracy that is attained by considering measurement dependencies. The proposed method is tested in the IEEE 57-bus and 118-bus systems and the obtained results are analyzed using Design of Experiments and ANOVA techniques.

subjects

  • Electronics

keywords

  • dependent gaussian measurements; outlier detection; power system state estimation; weighted least squares