Abstract
The effects of the weighting matrices used in the weighted least squares (WLS) method when applied to the problem of power system state estimation (PSSE) are studied. In particular, the effects of two weighting matrices are examined: the first is the inverse of the covariance matrix of the measurement errors and the second is the one used in the utility PSSE programs. Other weighting matrices are also tested. Different performance indices for state comparison are defined. The results obtained by performing many Monte Carlo trials using these weighting matrices are compared. Results show that the inverse of the covariance matrix gives the best results.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 35-39 |
| Number of pages | 5 |
| Journal | Electric Power Systems Research |
| Volume | 22 |
| Issue number | 1 |
| DOIs | |
| State | Published - Sep 1991 |
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
Keywords
- on-line load flow
- power system analysis
- power system state estimation