Realising URRLC for Smart Energy Network Services

The growing introduction of DERs (Distributed Energy Resources) to the energy net-work translates to increased system stochasticity leading to the requirement of introduc-ing new Demand Response schemes with faster response times (low latency) and fast ancillary services, where flexible assets at the edge of the energy grid are used to support network stability. Multi-Access Edge Computing (MEC) is one of the 6G enabling tech-nologies proposed to meet the URRLC. Facilitating automation in the edge plays an important role in ensuring the smooth delivery of time-critical applications such as smart energy network services. This can be realised by orchestrating tasks by taking into account computing and communication dynamics, supporting live migration of Virtual Network Functions to maintain QoS and preventing deadlocks. This talk will present the use of MEC to dynamically map sensory information processing tasks near the physical information source allowing the realization of distributed smart energy services, like distributed Fast Frequency Response to be implemented.