Observability analysis and bad data processing for state estimation using hachtel's augmented matrix method

Journal Article · Sun May 01 04:00:00 UTC 1988 · IEEE Trans. Power Syst.; (United States)

DOI:https://doi.org/10.1109/59.192912· OSTI ID:6325860

Wu, F F; Liu, W H.E.; Holton, L; Gjelsvk, A; Aam, S

The triangular-factorization-based observability analysis and the normalized-residual-based data processing are extended to state estimation using Hachtel's augmented matrix method. The Hachtel's 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's 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's approach to state estimation provides an attractive alternative to the standard normal equations approach.

• Research Organization: Univ. of California, Berkeley, CA (US)
• OSTI ID: 6325860
• Journal Information: IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. 3:2; ISSN ITPSE
• Country of Publication: United States
• Language: English

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990220 -- Computers
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ALGORITHMS
COMPUTER CODES
COMPUTERIZED CONTROL SYSTEMS
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MATHEMATICAL LOGIC
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WESTERN EUROPE