Bad data detection of unequal magnitudes in state estimation of power systems

IEEE Power Engineering Review

Volumn 22, Issue 4, 2002, Pages 57-60

  Duran Paz J L ^a   Perez Hidalgo F ^a   Duran Martinez M J ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC CURRENT MEASUREMENT; ELECTRIC LOADS; ELECTRIC POTENTIAL; FUNCTIONS; MATRIX ALGEBRA; MEASUREMENT ERRORS; PROBABILITY DISTRIBUTIONS; STATE ESTIMATION; STATISTICAL METHODS;

POWER ENGINEERING;

ELECTRIC POWER SYSTEMS;

EID: 0036530720     PISSN: 02721724     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPER.2002.4312111     Document Type: Article

References (8)

1. Power system static-state estimation
2. State estimation in power systems: Detecting bad data trough the sparse inverse matrix method
3. Bad data identification methods in power state estimation - A comparative study
4. Observability analysis and bad data processing for state estimation using Hachtel's augmented matrix method
5. Implementation of the hypothesis testing identification in power system state estimation
6. Bad data detection and identification
7. A reduced model for bad data processing in state estimation
8. Investigation on the load-flow problem