Distribution Network Maintenance Work Enhancement with Drones During Limited Mobile Network Access

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Paper number

751

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Säe, Joonas, Tampere University, Finland
Laaja, Jarkko, Tampere University, Finland
Paananen, Heikki, Elenia Oy, Finland
Valkama, Mikko, Tampere University, Finland

Abstract

Severe storms can cause major disturbances to electricity distribution. To restore power, distribution system operators (DSOs) deploy an extensive repair operation. The repair workers are dependent on a working cellular network connection. However, mobile networks are reliant on electricity networks. The cellular base stations (BSs) that serve the repair area might be affected by the power outage resulting in cellular network dead zones. Although these base stations have reserve batteries, they last only a few hours after which the BSs cease to function. In order to communicate with a control centre or update the data of mobile network information systems, the linemen have to travel to an area where there is still some mobile network coverage. This can significantly slow down the recovery process of major disturbances. This paper shows an innovative way to utilize unmanned aerial vehicles (UAVs), or drones, in the distribution network’s maintenance work. The results of this paper introduce a substantial extension to the normal mobile network coverage area with the help of drones. It is shown that the aerial signal power is 100–1000 times stronger (20 dB to 30 dB) compared with the ground level measurements, which enables a substantial increase to the maximum distance between the mobile network base station and the user equipment (UE). The measurement field tests show that even under normal network conditions the cell distances of UEs are increased from several kilometres in the ground-level to tens of kilometres in the air.

Table of content

Keywords

Publisher

AIM

Date

2019-06-03

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/136
http://dx.doi.org/10.34890/271

ISSN

2032-9644

ISBN

978-2-9602415-0-1