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| Titel: |
AN EXACT QUADRATIC STATE ESTIMATION ALGORITHM USING LINEAR PROGRAMING |
| Auteur: |
Abbasy, N. Allam, M. F. |
| Verschenen in: |
Electric power components & systems |
| Paginering: | Jaargang 21 (1993) nr. 4 pagina's 463-472 |
| Jaar: |
1993-07-01 |
| Inhoud: |
This paper presents a linear programming approach to an iterative, exact, and fast state estimation algorithm. The exactness of the algorithm is enhanced via retaining the nonlinearity of the problem. The cartisian form of the quadratic system equations is adopted. Taylor&squo;s expansion of these equations contains terms up to second order only. The estimation algorithm is formulated as a constrined linear optimization problem with no approximation. During the iterative process both the objective function and coefficients of constraint matrix need not be updated. Rather, only a simple modification is to be introduced in the constraint inequalities. The performance of the proposed estimator is examined for different applications. Simulation results show that the proposed estimator combines the advantages of a better estimation accuracy provided by nonlinear approaches, and high computational speed of linear approaches. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 6 gevonden artikelen
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