| Title | Integration of Blockchain Technologies in a Distributed and Hierarchical Predictive Control Framework for Community Energy Networks |
|---|---|
| Authors | Sivianes, Manuel , VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza, Ascension , Bordons, Carlos |
| External publication | No |
| Means | Rev. Iberoam. Autom. Inform. Ind. |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 4 |
| SJR Quartile | 2 |
| Publication date | 01/01/2025 |
| ISI | 001391039200006 |
| DOI | 10.4995/riai.2024.21330 |
| Abstract | This study introduces a hierarchical energy management platform that leverages blockchain technology to eliminate the need for a centralized coordinator. The platform is designed to operate in energy communities facing stochastic uncertainties. The approach is divided into two levels: at the upper level where a stochastic distributed model predictive control problem is solved by all households in the community to determine control actions on an hourly basis. A smart contract serves as a bridge between households, performing control tasks and facilitating information exchange. In contrast, at the lower level, each household independently solves a model predictive control problem locally to track the references established after consensus is reached by the upper layer, at a much higher frequency. The effectiveness of the platform in optimizing the community\'s economic performance and adhering to probabilistic constraints is demonstrated through extensive simulations. |
| Keywords | Energy management and distribution systems; blockchain; stochastic control; model predictive control |
| Universidad Loyola members |