Universität zu Köln

Basiri, Farnaz, Casadiego, Jose, Timme, Marc ORCID: 0000-0002-5956-3137 and Witthaut, Dirk ORCID: 0000-0002-3623-5341 (2018). Inferring power-grid topology in the face of uncertainties. Phys. Rev. E, 98 (1). COLLEGE PK: AMER PHYSICAL SOC. ISSN 2470-0053

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Abstract

We develop methods to efficiently reconstruct the topology and line parameters of a power grid from the measurement of nodal variables. We propose two compressed sensing algorithms that minimize the amount of necessary measurement resources by exploiting network sparsity, symmetry of connections, and potential prior knowledge about the connectivity. The algorithms are reciprocal to established state estimation methods, where nodal variables are estimated from few measurements given the network structure. Hence, they enable an advanced grid monitoring where both state and structure of a grid are subject to uncertainties or missing information.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Basiri, Farnaz UNSPECIFIED UNSPECIFIED UNSPECIFIED Casadiego, Jose UNSPECIFIED UNSPECIFIED UNSPECIFIED Timme, Marc UNSPECIFIED orcid.org/0000-0002-5956-3137 UNSPECIFIED Witthaut, Dirk UNSPECIFIED orcid.org/0000-0002-3623-5341 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-179796
DOI:	10.1103/PhysRevE.98.012305
Journal or Publication Title:	Phys. Rev. E
Volume:	98
Number:	1
Date:	2018
Publisher:	AMER PHYSICAL SOC
Place of Publication:	COLLEGE PK
ISSN:	2470-0053
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language STATE ESTIMATION; PARAMETER-ESTIMATION; SIGNAL RECOVERY; IDENTIFICATION; NETWORKS; ERRORS Multiple languages Physics, Fluids & Plasmas; Physics, Mathematical Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/17979