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Electrical Engineering and Systems Science > Systems and Control

arXiv:2203.14011 (eess)
[Submitted on 26 Mar 2022 (v1), last revised 16 Sep 2022 (this version, v2)]

Title:Approximations for Optimal Experimental Design in Power System Parameter Estimation

Authors:Xu Du, Alexander Engelmann, Timm Faulwasser, Boris Houska
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Abstract:This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). Here, the main motivation is that OED has the potential to significantly increase the accuracy of power system parameter estimates, for example, if only a few batches of data are available. The problem is, however, that solving the exact OED problem for larger power grids turns out to be computationally expensive and, in many cases, even computationally intractable. Therefore, the present paper proposes three numerical approximation techniques, which increase the computational tractability of OED for power systems. These approximation techniques are bench-marked on a 5-bus and a 14-bus case studies.
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2203.14011 [eess.SY]
  (or arXiv:2203.14011v2 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2203.14011

Submission history

From: Xu Du . [view email]
[v1] Sat, 26 Mar 2022 07:32:57 UTC (3,939 KB)
[v2] Fri, 16 Sep 2022 05:15:04 UTC (5,131 KB)
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