Schmidt, Raoul ORCID: 0000-0001-5614-3156, Haehne, Hauke, Hillmann, Laura, Casadiego, Jose, Witthaut, Dirk, Schafer, Benjamin ORCID: 0000-0003-1607-9748 and Timme, Marc ORCID: 0000-0002-5956-3137 (2022). Inferring Topology of Networks With Hidden Dynamic Variables. IEEE Access, 10. S. 76682 - 76693. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ISSN 2169-3536

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Abstract

Inferring the network topology from the dynamics of interacting units constitutes a topical challenge that drives research on its theory and applications across physics, mathematics, biology, and engineering. Most current inference methods rely on time series data recorded from all dynamical variables in the system. In applications, often only some of these time series are accessible, while other units or variables of all units are hidden, i.e. inaccessible or unobserved. For instance, in AC power grids, frequency measurements often are easily available whereas determining the phase relations among the oscillatory units requires much more effort. Here, we propose a network inference method that allows to reconstruct the full network topology even if all units exhibit hidden variables. We illustrate the approach in terms of a basic AC power grid model with two variables per node, the local phase angle and the local instantaneous frequency. Based solely on frequency measurements, we infer the underlying network topology as well as the relative phases that are inaccessible to measurement. The presented method may be enhanced to include systems with more complex coupling functions and additional parameters such as losses in power grid models. These results may thus contribute towards developing and applying novel network inference approaches in engineering, biology and beyond.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Schmidt, RaoulUNSPECIFIEDorcid.org/0000-0001-5614-3156UNSPECIFIED
Haehne, HaukeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hillmann, LauraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Casadiego, JoseUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Witthaut, DirkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schafer, BenjaminUNSPECIFIEDorcid.org/0000-0003-1607-9748UNSPECIFIED
Timme, MarcUNSPECIFIEDorcid.org/0000-0002-5956-3137UNSPECIFIED
URN: urn:nbn:de:hbz:38-690151
DOI: 10.1109/ACCESS.2022.3191665
Journal or Publication Title: IEEE Access
Volume: 10
Page Range: S. 76682 - 76693
Date: 2022
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of Publication: PISCATAWAY
ISSN: 2169-3536
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
INFERENCE; GRIDSMultiple languages
Computer Science, Information Systems; Engineering, Electrical & Electronic; TelecommunicationsMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/69015

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