Publication
Energy management and peer-to-peer trading in future smart grids: A distributed game-theoretic approach
Conference Article
Conference
European Control Conference (ECC)
Edition
19th
Pages
1324-1329
Doc link
https://ieeexplore.ieee.org/document/9143658/
File
Authors
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Belgioioso, Giuseppe
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Ananduta, Wicak
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Grammatico, Sergio
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Ocampo Martínez, Carlos A.
Projects associated
Abstract
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.
Categories
automation, control theory, optimisation.
Author keywords
Game theory, smart grids, energy management
Scientific reference
G. Belgioioso, W. Ananduta, S. Grammatico and C. Ocampo-Martínez. Energy management and peer-to-peer trading in future smart grids: A distributed game-theoretic approach, 19th European Control Conference, 2020, St. Petersburg, Russia, pp. 1324-1329.
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