Observability analysis and bad data processing for state estimation using Hachtel augmented matrix method

Conference · Thu Jan 01 04:00:00 UTC 1987

OSTI ID:7157315

Wu, F F; Liu, W H.E.; Holten, L; Gjelsvik, A; Aam, S

The triangular-factorization-based observability analysis and the normalized-residual-based bad data processing are extended to state estimation using Hachtel augmented matrix method. The Hachtel method is numerically robust, computationally efficient, and reasonable in extra storage requirement. In this paper it is shown that the observability analysis can be carried out in the process of triangular factorization of the augmented coefficient matrix used in the Hachtel method. Moreover, the normalized residuals are shown to be obtainable using the sparse inverse of this augmented matrix. The algorithms have been successfully incorporated in the state estimation program developed at Norwegian State Power Board (Statkraft). Test results on the IEEE 14 bus system and a 99-bus system consisting of the main grid of Southern Norway are presented. The Hachtel approach to state estimation provides an attractive alternative to the standard normal equations approach. 30 refs., 4 figs., 2 tabs.

• Research Organization: California Univ., Berkeley (USA); Norwegian State Power Board, Oslo; Elektrisitetsforsyningens Forskningsinstitutt, Trondheim (Norway)
• DOE Contract Number: AC01-84CE76257
• OSTI ID: 7157315
• Report Number(s): CONF-870239-1; ON: DE87001320
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990220* -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
COMPUTER ARCHITECTURE
DATA-FLOW PROCESSING
ITERATIVE METHODS
MATHEMATICAL MODELS
MATRICES
NONLINEAR PROBLEMS
PROGRAMMING