Communicating smart grid demand response and control data through LTE network related solutions
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
L10
Topic of the dissertation
Communicating smart grid demand response and control data through LTE network related solutions
Doctoral candidate
Master of Science (Technology) Juho Markkula
Faculty and unit
University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, CWC – Networks and Systems
Subject of study
Wireless Communications
Opponent
Professor Jussi Kangasharju, University of Helsinki
Custos
Docent Jussi Haapola, University of Oulu
Communicating smart grid demand response and control data through LTE mobile network related solutions
This thesis studies the suitability of delivering smart grid data through LTE mobile network related solutions. The network simulation results illustrated that LTE mobile networks and hybrid sensor-LTE networks are suitable for delivering some amount of concurrent smart grid and typical cellular traffic. The ad hoc LTE method enables the delivery of smart grid traffic using a multi-hop path from smart meters to the relay node connected to a base station. The reliability of long-range wide area networks (LoRaWANs) is insufficient for smart grid communications but may be improved with some technology modifications.
The research focused on a highly loaded public LTE mobile network, in which typical cellular and smart grid traffic was transmitted simultaneously using the same base station and frequency bands. The smart grid traffic was modeled as three different demand response applications, automatic metering reading, and emergency messaging. Network simulations were conducted in a suburban scenario with different smart grid and typical traffic volumes. In addition, a hybrid sensor-LTE network that combines IEEE 802.15.4 and LTE networks was compared against the LTE mobile network. An ad hoc LTE method was proposed for smart meters to overcome issues relating to lack of base station connectivity. The applicability of an LoRaWAN network for delivering various amounts of traffic was researched.
A smart grid is a modernized electrical grid utilizing new electronic information, communications, and control technologies. The smart grid enables the efficient use of energy resources, such as renewables like solar and wind, for environmental friendly energy production and consumption. Bi-directional communication makes possible intelligent metering, monitoring, management, demand response, and energy trading systems. Wireless communications are a potential option to enable communications in smart grids but require research on the usability of different wireless solutions for various smart grid applications.
The research focused on a highly loaded public LTE mobile network, in which typical cellular and smart grid traffic was transmitted simultaneously using the same base station and frequency bands. The smart grid traffic was modeled as three different demand response applications, automatic metering reading, and emergency messaging. Network simulations were conducted in a suburban scenario with different smart grid and typical traffic volumes. In addition, a hybrid sensor-LTE network that combines IEEE 802.15.4 and LTE networks was compared against the LTE mobile network. An ad hoc LTE method was proposed for smart meters to overcome issues relating to lack of base station connectivity. The applicability of an LoRaWAN network for delivering various amounts of traffic was researched.
A smart grid is a modernized electrical grid utilizing new electronic information, communications, and control technologies. The smart grid enables the efficient use of energy resources, such as renewables like solar and wind, for environmental friendly energy production and consumption. Bi-directional communication makes possible intelligent metering, monitoring, management, demand response, and energy trading systems. Wireless communications are a potential option to enable communications in smart grids but require research on the usability of different wireless solutions for various smart grid applications.
Last updated: 23.1.2024