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  5. Toward smarter grids: experimental investigation of an “all-optical” electrical sensor under laboratory conditions
 
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Toward smarter grids: experimental investigation of an “all-optical” electrical sensor under laboratory conditions

Publication date
2023-10-02
Document type
Forschungsartikel
Author
Alosmani, Khaled 
Meyer, Marc Florian 
Grumm, Florian 
Schulz, Detlef 
Organisational unit
Elektrische Energiesysteme 
DOI
10.1109/access.2023.3321219
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/16606
Project
Digitalisierte, rechtssichere und emissionsarme flugmobile Inspektion und Netzdatenerfassung mit automatisierten Drohnen 
Publisher
IEEE
Series or journal
IEEE Access
ISSN
2169-3536
Periodical volume
11
First page
108418
Last page
108432
Peer-reviewed
✅
Part of the university bibliography
✅
  • Additional Information
Language
English
DDC Class
620 Ingenieurwissenschaften
Keyword
Monitoring
Smart grids
Transmission line measurements
Non-invasive sensors
UAS
Abstract
Smart grids yield in an efficient energy distribution, driven by advanced grid management and diverse technologies’ integration. For instance, the remote monitoring of transmission lines, facilitates the development process of conventional electrical networks into smart grids. One form of such remote monitoring applications can be actuated by means of a drone, which carries an embedded intelligent sensor. These drone-based applications referred to as Unmanned Aerial Systems (UAS), thus allow an instantaneous surveillance of the actual status of transmission lines, remotely. Accordingly, this paper presents an experimental setup of an “all-optical” electrical sensor, confronted with different forced voltage/current (V/I) levels, in order to test its feasibility for future applications in drone-controlled, electric grid monitoring processes. After analyzing different measurements’ outputs, and comparing them with reference values outputted by reference V/I sensors, the resulting deviated errors are tabulated and justified. Furthermore, the exploration of the studied sensor’s pros and cons, and by taking into consideration the space/weight restrictions that a drone-based application obtrudes, related future work is suggested.
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Published version
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