Sequential bad data analysis in state estimation using orthogonal transformations

Journal Article · Fri Feb 01 04:00:00 UTC 1991 · IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (USA)

DOI:https://doi.org/10.1109/59.131058· OSTI ID:5867450

Vempati, N ^[1]; Shoults, R R ^[2]

---

1. Control Data Corp., Minneapolis, MN (USA)
2. Texas Univ., Arlington, TX (USA)

The sequential identification of multiple bad data in power system state estimation using orthogonal transformations is presented in this paper. The method iteratively builds a list of suspect bad data based on their normalized residuals. The measurements are then analyzed for their estimated errors and the suspect list is pruned to reveal the bad data. Valid measurements are then returned to the system for completing the solution. As part of this development, a new method to compute and update the residual covariance matrix is also presented. Test results on the IEEE 30 by system are presented.

• OSTI ID: 5867450
• Journal Information: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (USA), Journal Name: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (USA) Vol. 6:2; ISSN ITPSE; ISSN 0885-8950
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
240100* -- Power Systems-- (1990-)
COMPUTER CALCULATIONS
ENERGY SYSTEMS
ERRORS
POWER SYSTEMS
QUALITY ASSURANCE