Storage4Grid aims at boosting the uptake of storage technologies between the distribution grid level and the end-user level, by developing a novel, holistic methodology for modeling, planning, integrating, operating and evaluating distributed Energy Storage Systems. The Storage4Grid methodology encompasses storage at user premises and storage at substation level, Electrical Vehicles, innovative energy metering and energy routing technologies.

Storage4Grid is a Research and Innovation Action funded by the European Union’s Horizon 2020 Programme.

At a glance

Future energy systems will be characterized by growing shares of intermittent power generation from Renewable Energy Sources (RES) while facing increasing diffusion of Electrical Vehicles (EVs). Such scenarios are creating new challenges for efficient management and grid stability. Energy Storage Systems (ESS) provide a valuable answer to such challenges.

The Storage4Grid vision is to provide utilities and end-users with new tools for optimal grid planning, use and evaluation of storage technologies. S4G pre-designs new storage control models and interfaces built upon existing standards and suitable to support scalable and cost-efficient coordination of heterogeneous ESS.

S4G will deliver:

  1. a Decision Support Framework allowing utilities to evaluate costs and benefits of existing and hypothetical storage installations, for various energy use patterns and regulatory landscapes
  2. a Distributed Control methodology for ESS
  3. an innovative Unbundled Smart Meter to enable ESS control in real-life settings
  4. an Energy Router for provision of future grid services by ESS

The compatibility of S4G models with standards, regulatory landscapes and emerging technologies is ensured by a mix of partners with strong competences in the energy and ICT domain and by the engagement of a wide team of technology and service providers in the External Stakeholder Group (ESG).


S4G will consider 3 scenarios, each associated to a different test site.

An advanced scenario for “Advanced Cooperative Storage System” leveraging the Energy Router and DC buses will be developed and demonstrated in the MicroDERLab facilities in Bucharest (RO).

The “Cooperative EV Charging” scenario will focus on use of storage to support large deployments of EV charging stations. It will be defined and validated in real-life settings in Bolzano (IT).

A Storage Coordination” scenario will focus ESS deployed for maximize self-consumption and RES exploitation at prosumer level. It will be developed and evaluated in a deployment in Fur (DK).

Advanced Cooperative Storage System

The first S4G scenario looks at micro-grid configurations featuring combinations of AC and DC buses and an innovative Energy Router system.This scenariowill be analysed for feasibility and evaluated focusing on the micro-grid ability to store and exploit produced energy, its ability to store efficiently and exploit cheap energy available from the DSO network, the assessment of the ability of the Energy Router to act as a secondary Voltage controller reacting to DSO signals by using active power modulation, etc.

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Cooperative EV charging

S4G will also consider a residential setting where a prosumer owns a residential PV installation integrated with a local ESS, as well as a plug-in EV which is normally recharged at home during nightly hours through a dedicated 3kW residential outlet. In this case, a dedicated USM will be deployed and interconnected to the storage, PV and CP, enabling techniques to optimize exploitation of cheap, renewable energy,0 supported by predictive control techniques.

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Storage Coordination

S4G will study methodologies for planning, evaluating in advance and controlling distributed storage installations communicating and cooperating within the distribution grid. this will be enabled by the making storage systems compliant with open, pre-standardized interfaces. In such context, S4G will support the design and sizing of local storage system and their impact on the cost, manageability and environmental sustainability of the local grid.

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