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Completed HORIZON European Commission

Renewable Energy Sources Power FOrecasting and SyNchronisation for Smart GriD NEtworks MaNagemenT

€2.75M EUR

Funder European Commission
Recipient Organization Future Intelligence Erevna Tilepikinoniakon Ke Pliroforiakon Systimaton Epe
Country Greece
Start Date Nov 01, 2022
End Date Apr 30, 2025
Duration 911 days
Number of Grantees 8
Roles Coordinator; Participant
Data Source European Commission
Grant ID 101082355
Grant Description

Renewable Energy Sources Power FOrecasting and SyNchronisation for Smart GriD NEtworks MaNagemenT.Renewable energy sources (RES) play a major role to the EU’s aspiration to transform to a climate-neutral economy.

Their integration into the power grid is pivotal to the green transition and to the decarbonisation of the energy sector.

However, as the most commonly used RES (solar, wind and hydropower) are also weather-dependent, their power generation capacity varies according to the local microclimatic conditions.

This power production variability makes RES difficult to integrate into the power grid and to provide seamless, stable and secure amounts of power.

On the other hand, power demand also affects the power grid operation, since there must always be a supply/demand balance in the power grid.

Grid power imbalances can cause frequency fluctuations and other unwanted transient phenomena, which can compromise grid stability and operation.

For that matter, advanced grid monitoring techniques have been developed, employing phasor measurement units (PMUs) to measure the electrical signals in a precise and synchronised way, based on a reliable timing reference. Yet, currently, no Galileo-based applications on PMU timing exist.

In the above framework, RESPONDENT comes to address the challenges of RES power generation forecasting, demand forecasting and smart power grid monitoring and supply/demand balancing.

An AI/ML RES power generation forecasting algorithm is proposed, exploiting both Copernicus EO and site-specific weather data, along with renewable energy power conversion models. Furthermore, an AI/ML – multiphysics model for power demand of certain communities is also developed.

Lastly, RESPONDENT will build a Galileo-enabled PMU and develop a monitoring module, in order to test and verify the advantages offered from the Galileo timing and synchronization services in smart grid monitoring, power balancing and overall operation.

All Grantees

Future Intelligence Erevna Tilepikinoniakon Ke Pliroforiakon Systimaton Epe; Greenesco Energeiaki Anonymi Etaireia; Kiefer Tek Etaireia Periorismenis Efthynis; Fundacio Institut de Recerca de L'Energia de Catalunya; Fundacion Centro de Tecnologias de Interaccion Visual Y Comunicaciones Vicomtech; Electrotecnica Del Urumea Sl; Estabanell Y Pahisa Energia Sa; Carr Communications Limited

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