CROSSBOW will propose the shared use of resources to foster cross-border management of variable renewable energies and storage units, enabling a higher penetration of clean energies whilst reducing network operational costs and improving economic benefits of RES and storage units.
Research - Innovation
Participation in European Projects
HEDNO participates in several European projects in the areas of energy and ICT, concerning themes such as smart grid issues, energy management and integration of distributed energy resources in distribution networks.
-Projects funded by the European Commission, under the auspices of the Horizon 2020, -SmarterEMC2, -TILOS, WiseGRID, SHAR-Q, CROSSBOW, ERIGrid, GRIDSOL και iDistributedPV, Programme for Research and Innovation for 2014-2020.
-Rrojects funded by the European Commission, under the auspices of the 7th Framework Programme (FP7),-DREAM, VIMSEN,-IGREENGrid, -SINGULAR, -SMARTKYE, -SUSTAINABLE, for Research and Technological Development for 2007-2013.
Renewable energy sources are key enablers to decrease greenhouse gas emissions and to cope with the anthropogenic global warming. The intermittent behavior of them and their limited storage capabilities present new challenges to power system operators in maintaining power quality and reliability.
Storages are unavoidable components of the future smart grid with large share of variable renewable generation. However, the unit-cost of energy that is retrieved from storages is several times higher than the cost of energy consumed upon its output from RES. Therefore, there is a strong requirement on the optimisation of storage capacities deployed in the grid.
The DREAM project will lay the foundations for a novel heterarchical management approach of complex electrical power grids, providing new mechanisms for consumer involvement in economical and ecological electricity use as well as stable and cost effective integration of distributed renewable resources.
The SuSTAINABLE project will develop and demonstrate a new operation paradigm, leveraging information from smart meters and short-term localized predictions to manage distribution systems in a more efficient and cost-effective way, enabling a large-scale deployment of variable distributed resources.