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

No

IFAC-PapersOnLine

Proceedings Paper

Científica

✗

✗

0.365

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

01/01/2023

001122557300135

2-s2.0-85183616845

10.1016/j.ifacol.2023.10.579

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/)

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

• PABLO ANIBAL VELARDE RUEDA