Energy management and peer-to-peer trading in future smart grids: a distributed game-theoretic approach
Document typeConference report
Rights accessOpen Access
ProjectINCITE - Innovative controls for renewable sources Integration into smart energy systems (EC-H2020-675318)
We consider the economic dispatch problem for a day-ahead, peer-to-peer (P2P) electricity market of prosumers (i.e., energy consumers who can also produce electricity) in a distribution network. In our model, each prosumer has the capability of producing power through its dispatchable or non-dispatchable generation units and/or has a storage energy unit. Furthermore, we consider a hybrid main grid & P2P market in which each prosumer can trade power both with the main grid and with (some of) the other prosumers. First, we cast the economic dispatch problem as a noncooperative game with coupling constraints. Then, we design a fully-scalable algorithm to steer the system to a generalized Nash equilibrium (GNE). Finally, we show through numerical studies that the proposed methodology has the potential to ensure safe and efficient operation of the power grid.
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CitationBelgioioso, G. [et al.]. Energy management and peer-to-peer trading in future smart grids: a distributed game-theoretic approach. A: European Control Conference. "Proceedings of the 2020 European Control Conference (ECC): Saint Petersburg, Russia, May 12-15, 2020". 2020, p. 1324-1329. ISBN 978-3-907144-02-2. DOI 10.23919/ECC51009.2020.9143658.