Objective
DELTA proposes a DR management platform that distributes parts of the Aggregator’s intelligence into lower layers of a novel architecture, based on VPP principles, in order to establish a more easily manageable & computationally efficient DR solution, ultimately aiming to introduce scalability & adaptiveness into the Aggregator’s DR toolkits; the DELTA engine will be able to adopt & integrate multiple strategies & policies provided from its energy market stakeholders, making it authentically modular & future-proof.
DELTA will also deliver a fully autonomous architectural design, enabling end-users to escape the hassle of responding to complex price/incentive-based signals, while facilitating active, aware & engaged prosumers, based on innovative award schemes, a social collaboration platform & enhanced DR visualisation. Provision of full-scale market & grid services will be made possible by delivering explicit & implicit-based DR elasticity services, while pushing current market regulatory limitations so that they can be surpassed, and satisfying potential grid constraints related to flexibility activation through Multi-Factor Forecasting and Deep Reinforcement Learning Profiling.
Furthermore, DELTA will propose & implement novel multi-agent based, self-learning energy matchmaking algorithms to enable aggregation, segmentation & coordination of several diverse supply & demand clusters, designed end-to-end using well-known, open protocols (i.e. OpenADR), for increasing interoperability. DELTA will set the milestone for data security in future DR applications by not only implementing novel block-chain methods & authentication mechanisms, but also by making use of Smart Contracts which would further secure & facilitate Aggregators-to-Prosumers transactions.
Two pilots in UK & Cyprus will realise the DELTA concept, covering a wide variety of residential/tertiary loads (>11GWh), RES generation (>14GWh) & energy storage systems (>9MWh) (average annual measurements).
Fields of science
- humanitiesartsarchitectural design
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
57001 Thermi Thessaloniki
Greece
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Participants (10)
2408 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1399 Lefkosia
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1678 Nicosia
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N3 1XW London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1049 Brussels
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Participation ended
D04 PD25 Dublin
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1020 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28040 Madrid
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7491 Trondheim
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A96 PR60 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.