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arXiv · 2011.03988

Online power system parameter estimation and optimal operation

Xu Du·Alexander Engelmann·Timm Faulwasser·Boris Houska
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Abstract

The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models. Classically, parameter estimation and optimization-based control is often decoupled, which leads to high system operation cost in the estimation procedure. The present work proposes a method for simultaneously minimizing grid operation cost and optimally estimating line parameters based on methods for the optimal design of experiments. This method leads to a substantial reduction in cost for optimal estimation and in higher accuracy in the parameters compared with standard Optimal Power Flow and maximum-likelihood estimation. We illustrate the performance of the proposed method on a benchmark system.

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Xu Du, Alexander Engelmann, Timm Faulwasser, Boris Houska. 2020-11-08. Online power system parameter estimation and optimal operation. https://arxiv.org/abs/2011.03988

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