Energy management and peer-to-peer trading in future smart grids: a distributed game-theoretic approach

Cita com:
hdl:2117/332295
Document typeConference report
Defense date2020
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial-NoDerivs 3.0 Spain
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.
Description
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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.
ISBN978-3-907144-02-2
Publisher versionhttps://ieeexplore.ieee.org/document/9143658
Files | Description | Size | Format | View |
---|---|---|---|---|
2301-Energy-Man ... ame-Theoretic-Approach.pdf | 600,4Kb | View/Open |