Published 2021
| Version v1
Publication
A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids
Contributors
Description
The way of generating and distributing energy throughout the electrical grid to all users is
evolving. The concept of Smart Grid (SG) took place to enhance the management of the electrical grid
infrastructure and its functionalities from the traditional system to an improved one. To measure the
energy consumption of the users is one of these functionalities that, in some countries, has already
evolved from a periodical manual consumption reading to a more frequent and automatic one,
leading to the concept of Smart Metering (SM). Technology improvement could be applied to the SM
systems to allow, on one hand, a more efficient way to collect the energy consumption data of each
user, and, on the other hand, a better distribution of the available energy through the infrastructure.
Widespread communication solutions based on existing telecommunication infrastructures instead
of using ad-hoc ones can be exploited for this purpose. In this paper, we recall the basic elements
and the evolution of the SM network architecture focusing on how it could further improve in the
near future. We report the main technologies and protocols which can be exploited for the data
exchange throughout the infrastructure and the pros and cons of each solution. Finally, we propose an
innovative solution as a possible evolution of the SM system. This solution is based on a set of Internet
of Things (IoT) communication technologies called Low Power Wide Area Network (LPWAN) which
could be employed to improve the performance of the currently used technologies and provide
additional functionalities. We also propose the employment of Unmanned Aerial Vehicles (UAVs)
to periodically collect energy consumption data, with evident advantages especially if employed in
rural and remote areas. We show some preliminary performance results which allow assessing the
feasibility of the proposed approach
Additional details
Identifiers
- URL
- https://hdl.handle.net/11567/1040998
- URN
- urn:oai:iris.unige.it:11567/1040998
Origin repository
- Origin repository
- UNIGE