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).
Field of science
- /natural sciences/computer and information sciences/computer security/data protection
- /natural sciences/computer and information sciences/artificial intelligence/machine learning/reinforcement learning
- /humanities/arts/architectural design
- /social sciences/economics and business/business and management/commerce
Call for proposal
H2020-LCE-2017-SGS
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
57001 Thermi Thessaloniki
Greece
Participants (10)
2408 Lefkosia
1399 Lefkosia
1678 Nicosia
N3 1XW London
1049 Brussels
Participation ended
D04 PD25 Dublin
1020 Wien
28040 Madrid
7491 Trondheim
A96 PR60 Dublin
