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- W2051728305 abstract "Abstract As a basic energy management system function that processes real-time measurements, state estimation deals with both continuous and discrete variables to estimate states in a power system. One possible source for the discrete parameters is the transformer taps, whose positions should be estimated with high confidence. Given that the tap estimation error causes a network topological modeling inaccuracy, its range should be minimized. Motivated to accurately estimate a state vector including transformer taps, this research presents an estimator based on mixed-integer quadratic programming and a comparison to a recently proposed ordinal optimization formulation based on a sensitivity analysis. Experimental results on the IEEE 30-, 57-, and 118-bus benchmarks reveal a slight superiority of the mixed-integer quadratic programming algorithm in terms of overall accuracy and motivate follow-up research. Keywords: mixed-integer quadratic programmingordinal optimizationpower system state estimationtransformer tapweighted least squares" @default.
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- W2051728305 date "2013-03-01" @default.
- W2051728305 modified "2023-09-27" @default.
- W2051728305 title "Mixed-integer Quadratic Programming Based Rounding Technique for Power System State Estimation with Discrete and Continuous Variables" @default.
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- W2051728305 doi "https://doi.org/10.1080/15325008.2012.755233" @default.
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