Title :
Robust Algorithm for Generalized State Estimation
Author_Institution :
Brunel Inst. of Power Syst., Brunel Univ., Uxbridge, UK
Abstract :
This letter introduces a robust generalized state estimator which is able to detect and reject gross measurement errors, parameter errors, and topology errors simultaneously. The solution is based on finding a consistent estimate which minimizes the total number of hypothesized gross errors. The problem is formulated as a mixed integer nonlinear program. A small-scale ac estimation example is given which illustrates some of the properties of the method.
Keywords :
integer programming; nonlinear programming; power system state estimation; generalized state estimation; gross measurement errors; mixed integer nonlinear programming; parameter errors; robust algorithm; topology errors; Generalized state estimation; mathematical programming; robust estimation;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2009.2030116