PMU based robust state estimation using scaling

Göl, Murat
State estimation problem is commonly solved by the weighted least squares (WLS) method, which is known to be non-robust, i.e. it fails in the presence of a single bad measurement. A more robust alternative is the least absolute value (LAV) estimator which can automatically reject bad-data in the absence of the so called leverage measurements. When using only measurements provided by phasor measurement units (PMU), it can be shown that leverage measurements can be eliminated easily by strategic scaling. Hence, in this paper it is argued that when using PMU measurements, LAV estimator will provide a robust alternative to the WLS.