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

Download the digital copy of the doc pdf document

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.