DEEP: Dynamic and Efficient Energy-sharing P2P networks
In the context of sharing renewable energy resources, Peer-to-peer (P2P) systems have been shown to be beneficial for pro- and consumers through reductions in energy cost while being attractive to grid or service provider, by e.g. being able to better regulate load-balancing of distributed energy resources, providing higher local self-sufficiency and/or reducing the peak demand. Organizing the sharing into P2P setups can be leveraged as a way to optimize the cost-benefits from distributed resources. This has been shown to be the most efficient (in terms of cost and exchange of data) when small-scale independent communities are used matching together one prosumer with a small group of consumers without energy resources. The goal of this project is the design of matching algorithms taking into account for the cost-optimization (1) the dynamic aspect of the matching preferences constantly changing between peers and (2) the profitability of both energy end-users and energy or grid provider. Trying to integrate those two aspects in the cost-optimization matching procedure is a novel approach that would provide concrete mechanisms to build sharing communities in practical scenarios, becoming a highly valuable asset for tomorrow’s energy systems.
Romaric Duvignau (contact)
Assistant Professor at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Funding Chalmers participation during 2021
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