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Publicaciones

Uncertainty management in peer-to-peer energy trading based on blockchain and distributed model predictive control

Authors

Sivianes M. , VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza A. , Maestre J.M. , Bordons C.

External publication

No

Means

IFAC-PapersOnLine

Scope

Proceedings Paper

Nature

Científica

JCR Quartile

✗

SJR Quartile

✗

SJR Impact

0.365

Web

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183616845&doi=10.1016%2fj.ifacol.2023.10.579&partnerID=40&md5=fa465fbfeedf2f2ca0a3d264e3c398d2

Publication date

01/01/2023

ISI

001122557300135

Scopus Id

2-s2.0-85183616845

DOI

10.1016/j.ifacol.2023.10.579

Abstract

This work presents a distributed energy management platform based on a smart contract displayed on a blockchain network to optimize the behavior of an energy community under stochastic disturbances, such as solar irradiance and agents\' energy demands. Disturbances are modeled as probability distributions and are handled by a distributed model predictive control scheme based on chance constraints. The performance of the proposed algorithm is assessed across various simulations. Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Keywords

blockchain; energy and distribution management systems; predictive control; stochastic control

Universidad Loyola members