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Fault tolerant approach applied on peer-to-peer energy trading based on blockchain and distributed model predictive control

Authors

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

External publication

No

Means

IEEE Int. Conf. Energy Technol. Future Grids, ETFG

Scope

Proceedings Paper

Nature

Científica

JCR Quartile

✗

SJR Quartile

✗

Web

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185811832&doi=10.1109%2fETFG55873.2023.10407614&partnerID=40&md5=77509fe840423d49ccbfc2db7005d8b9

Publication date

01/01/2023

Scopus Id

2-s2.0-85185811832

DOI

10.1109/ETFG55873.2023.10407614

Abstract

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 that can detect, isolate, and reconfigure agents in the event of faults. Fault detection is based on residual signal calculations and probability-based thresholds that minimize false faults. Once a fault has been identified, reconfiguration is done by adjusting the parameters of the agent's predictive controller to bring the system to an acceptable level of security. If the reconfiguration affects more than one agent, the information can be shared with the other agents. The entire control system is implemented using a blockchain network smart contract to provide the energy community security and integrity features. The proposed control strategy has been assessed through several simulations in an energy community. © 2023 IEEE.

Keywords

blockchain; distributed system; energy trading; fault tolerance; model predictive control

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