Journal
ELECTRIC POWER COMPONENTS AND SYSTEMS
Volume 41, Issue 5, Pages 555-567Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/15325008.2012.755233
Keywords
mixed-integer quadratic programming; ordinal optimization; power system state estimation; transformer tap; weighted least squares
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Funding
- Lebanese National Center for Scientific Research (LNCSR), Lebanon
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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.
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