Third party funded individual grant
Acronym: GE 1053/9-1
Start date : 01.07.2022
End date : 30.06.2026
In transmission systems, a dedicated and high-performance communication infrastructure allows a parallel execution of communication-intensive functions and services. In the course of the expansion of renewable energies at lower voltage levels of the distribution networks and the shift of system responsibility to (operators of) these plants and systems, similar functions and services must also be implemented at the distribution network level in Smart Grids – so-called Smart Grid Services (SGSs).
In this project, we will therefore conduct research on online reconfiguration methods based on a two-step QoS-provisioning approach: At a first level, discrete optimization is used to find an allocation of SGSs to available servers and allocation of flows to paths through the communication network based on a topological view of the compute, storage, and communication facilities. At a second level, Network Calculus is used to ensure analytically that all critical SGSs can meet their QoS requirements. The overall effect of the two-step approach will then be assessed by simulation.
FAU will be mainly considering the networking and QoS aspects in this cooperation, while Oldenburg University will concentrate on the effects on the energy network and the reconfiguration of the Smart Grid Services.
In transmission systems, a dedicated and high-performance communication infrastructure allows a parallel execution of communication-intensive functions and services. In the course of the expansion of renewable energies at lower voltage levels of the distribution networks and the shift of system responsibility to (operators of) these plants and systems, similar functions and services must also be implemented at the distribution network level in Smart Grids – so-called Smart Grid Services (SGSs).
In this project, we will therefore conduct research on online reconfiguration methods based on a two-step QoS-provisioning approach: At a first level, discrete optimization is used to find an allocation of SGSs to available servers and allocation of flows to paths through the communication network based on a topological view of the compute, storage, and communication facilities. At a second level, Network Calculus is used to ensure analytically that all critical SGSs can meet their QoS requirements. The overall effect of the two-step approach will then be assessed by simulation.
FAU will be mainly considering the networking and QoS aspects in this cooperation, while Oldenburg University will concentrate on the effects on the energy network and the reconfiguration of the Smart Grid Services.