ENEA_PowerLab

DESCRIPTION

The ENEA_PowerLab Living Lab/Testbed consists of a LV grid constituted by AC, DC and hybrid microgrids able to emulate different energetic scenarios and validate topological solutions, control and protection strategies and devices. Several generators, storage systems (LiFePO4 and flow batteries, supercapacitors banks) and regenerative loads also including real and/or emulated renewables (PV, wind, FC) and DER sources realize the infrastructure. Particular attention is dedicated to DC/AC and DC/DC interfaces to the microgrid buses: 400V AC, 400V DC, 800V DC. Furthermore, groups of users (consumers and prosumers) are integrated in the Living Lab and their energetic needs and requirements are acquired to validate advanced management strategies in Hardware in The Loop environment. A charging station is going to complete the 800V DC microgrid.

AREAS OF SPECIAL COMPETENCE

RES modeling and grid integration, DER management, hybrid AC, DC grids, Solid State Interface converters, grid reliability in stationary/dynamic regimes, black start and synthetic inertia service provision, production and load forecasting.

WHAT CAN BE TESTED

DC/DC and AC/DC interface converter design, optimization and experimental characterization, RES (PV, wind, FC) integration in AC, DC and in hybrid microgrids, Li-ion based storage, and hybrid storage (battery+ SuperCap) integration test in grid-on and grid-off microgrids, validation of control and service to grid provision strategies.

AVAILABLE INFRASTRUCTURE

The ENEA_PowerLab testbed is constituted by an infrastructure including outdoor PV plants and Solar Array Simulators, Li-based and hybrid (batteries+Supercaps) storage, also including local and users loads and EV fast charging solution.

HOW TO GET STARTED WITH US

Get in touch with our contacts via email.

PRICING MODEL

Our services are free of charge to projects partners.

Selected Partner Contact
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Italy


Responsible organisation: ENEA Smart Grid and Energy Network Lab, Italy

Giovanna Adinolfi
Maria Valenti

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This initiative has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements no. 646039 and no. 775970.
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