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Intelligent Grid Platform

Project description

Energy transition with new digital power grids

The future of energy is decentralised. Energy is no longer being produced by a limited number of big power plants. The introduction of small renewable energies and the electrification of mobility is transforming the entire sector. For instance, millions of new solar panels, wind turbines and electric vehicle charging points need to be integrated into the power grids. This has increased the need for new essential grid planning and operation workflows. The EU-funded IGP project is developing an intelligent grid platform – an integral software solution – using machine learning and advanced analytics algorithms. It will allow grid operators to integrate smart grid technologies as well as connect their data and digitise and automate their grid planning and operation activities.

Objective

The energy sector is going through a transformation from a one directional centralized system in which energy is produced by a limited number of big power plants into a highly decentralized ecosystem due to the introduction of small-scale renewable energies and the electrification of mobility. In this situation, power distribution grid operators’ current workflows and IT systems cause inconsistent data management which complicates their planning and operation activities. Therefore, essential grid planning and operation workflows involve significant manual input. As a result, e.g. the evaluation of a connection request for a single new wind turbine often takes multiple days. Additionally, Smart Grid Technologies cannot be used to their full extent to avoid curtailment of renewables in congestion management, and to substitute conventional expensive grid capacity expansions.
We have developed the Intelligent Grid Platform (IGP), the only integral software solution using machine learning algorithms to allow grid operators to reduce their operational and network expansion investment costs by giving them the means to clean and connect their data, digitize and automate their grid planning and operation activities and to more easily integrate smart grid technologies to help their operation processes and avoid expensive network capacity extensions. As a result, they save time and engineering resources by up to 70% and reduce grid operation and expansion costs by 40% to 60%. In this project, we will advance the IGP applications for online gird operation.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

ENVELIO GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
Hildegard-von-Bingen-Allee 2
50933 KOLN
Germany

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Nordrhein-Westfalen Köln Köln, Kreisfreie Stadt
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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