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Power system observability via optimization
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DOI：10.1016/j.epsr.2013.06.019.png)
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Abstract
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The observability of the state of a power system given a set of redundant measurements is a relevant problem as it is a necessary step prior to state estimation, as well as an accurate estimate of the state is crucial to achieve a secure operation. In this paper, this problem is addressed through a novel approach: the solution of a well-behaved integer linear programming problem. Several realistic case studies including up to 2383 buses (Polish system) illustrate the computational efficiency of the method proposed. The obtained results are analyzed from a statistical perspective and compared with a traditional approach using the design of experiments and analysis of variance (ANOVA) methodologies. (c) 2013 Elsevier B.V. All rights reserved.
Keywords:
Power system observability
Mathematical programming
ANOVA analysis
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