Sivianes M. , VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza A. , Bordons C.
No
Rev. Iberoam. Autom. Inform. Ind.
Article
Científica
01/10/2024
001525039900006
2-s2.0-105002278864
This work describes a distributed control system that optimizes energy management using model predictive control in an energy community. The system has been extended to provide each agent with a fault-tolerant mechanism capable of detecting, isolating, and reconfiguring a gents i n c ase o f f ailures. F ault d etection i nvolves t he c alculation o f r esidual s ignals a nd probability-based thresholds that minimize false positives. Once a fault is identified, reconfiguration is performed by adjusting the parameters of the agent’s predictive controller to bring the system to an acceptable level of safety. If the reconfiguration affects more than one agent, the information must be shared with the other agents. The control algorithm relies on a smart contract on a blockchain network, enabling the problem to be solved in a distributed manner without a centralized coordinator, while ensuring the security and integrity of the data. The proposed control strategy has been evaluated through various simulations in an energy community. © 2025 Universidad Politecnica de Valencia. All rights reserved.
Decentralized systems; Linear control systems; Predictive control systems; Block-chain; Community-based; Decentralised control; Distributed-control; Energy; Energy systems; Fault-tolerant; Faults tolerant controls; FDI for linear system; Predictive control; Decentralized control