Objective
The European Union’s priority of increasing the penetration of renewable generation in modern distribution networks has posed many challenges. The largest share consists of distributed and small-scale systems. The increased variability of supply from distributed renewable generations such as, wind and solar photovoltaics causes frequency and voltage stability issues in the system. Moreover, the power electronic interfaces reduces the system inertia which can lead to severe frequency deviations if a proper control mechanism is not implemented. However, an energy storage system and demand response with non-dispatchable generations will reduce the variability and thus, improve the system resilience by providing energy arbitrage, frequency and voltage regulation and fast reserves which are beneficial to distribution network management. Although the small-scale distributed sources are not capable to provide these flexibility services to the distribution and transmission network operators, the aggregator in the modern distribution network enables this process. Besides, they are able to provide slow services such as peak shaving, demand side management. GiFlex tackles this aspect by proposing an optimization framework in the smart grid scenario. The objectives are: 1) to assess and implement accurate estimation of flexibility services from GridEye measurements by employing machine learning algorithms, 2) to aggregate the flexibility services from distributed sources. The DEPsys product GridEye has a target of providing services in seconds. 3) GiFlex further will address the joint provision of fast response in seconds and slower response in minutes through a co-optimization framework. GiFlex is relevant to the Work Programme 2018-2020 and is expected to impact the European power sector by contributing to the effective and increased integration of renewable generation and to the realisation of a true smart grid with affordability, sustainability and security of energy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
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.
MSCA-IF-EF-SE - Society and Enterprise panel
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
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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.
1070 Puidoux
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.