A reduced model for bad data processing in state estimation

 
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1991 (EN)
A reduced model for bad data processing in state estimation (EN)

Contaxis George, C (EN)
Korres George, N (EN)

N/A (EN)

A reduced model theory for bad data processing is proposed which utilizes the concept of error residual spread areas. Based on the reduced model theory, statistical indices can be defined for each error residual spread area, and therefore existing detection and identification techniques can be applied separately for each error residual spread area. In this way, errors can be isolated in smaller regions of the system, making it possible to avoid the search for bad data in the global system. Results from several test cases show the effectiveness and robustness of the method. (EN)

journalArticle

BAD DATA DETECTION AND IDENTIFICATION (EN)
Statistical Indices (EN)
Reduced Model Theory (EN)
Electric Power Systems (EN)
Control Systems - Estimation (EN)
Power System State Estimation (EN)
Mathematical Statistics (EN)
Critical Measurements (EN)
Bad Data Detection/Identification (EN)
Bad Data Processing (EN)
Mathematical Techniques - Least Squares Approximations (EN)
ERROR RESIDUAL SPREAD AREAS (EN)
Data Processing (EN)
Measurement Errors (EN)
CRITICAL MEASUREMENTS (EN)

Εθνικό Μετσόβιο Πολυτεχνείο (EL)
National Technical University of Athens (EN)

IEEE Transactions on Power Systems (EN)

1991


IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (EN)



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