Local needs for ancillary services in distribution systems are supposed to co-exist with system needs for balancing and congestion management. Resources located in distribution systems, like demand side management and distributed generation, are supposed to participate to the provision of ancillary services both locally and for the system in the context of competitive ancillary services markets.
Through an in-depth and a simulation in a lab-environment, answers are sought for to the following questions:
- which ancillary services could be provided from distribution to the whole system (via transmission),
- which optimized modalities could be adopted for managing the network at the TSO-DSO interface and what monitoring and control signals could be exchanged to carry out a coordinated action,
- how the architectures of the real time markets (in particular the balancing markets) could be consequently revised,
- what information has to be exchanged and how (ICT) for the coordination on the distribution-transmission border, starting from monitoring aspects, to guarantee observability and control of distributed generation, flexible demand and storage systems,
- which implications could the above issues have on the on-going market coupling process, that is going to be extended to real time markets in the next years, according to the draft Network Code on Electricity Balancing by ENTSO-E.
Different TSO-DSO interaction modalities are compared with reference to three selected national cases (Italian, Danish, Spanish) also supposing the possibility of a cross-border exchange of balancing services. Physical pilots are developed for the same national cases.
SmartNet is a three-year project with a team of 22 partners from 9 European countries. SmartNet is a classified as a Research and Innovation Action, i.e. it features a significant research activities but also three physical pilots, one in Italy, one in Denmark and one in Spain.
For more information, see this brochure about the SmartNet project.
Del på facebook
Del på linkedIn