Blockchain Inspired Fault Monitoring And Event Recording In Medium Voltage DC Distribution Systems

Abstract

Fault management in medium-voltage direct-current (MVDC) networks requires coordination between event detection, operational response, and event-history maintenance. This paper presents a blockchain-inspired framework and a MATLAB App Designer prototype for examining these functions. A ten-node network is represented by a random symmetric adjacency matrix, while simulated voltage changes and fault indicators drive predefined response rules. The interface combines network visualization, fault reporting, a ledger-like transaction table, and node-voltage displays. Demonstrated cases show identification of a simulated fault, assignment of an isolation status, event recording, and a subsequent no-fault display. The implementation executes these functions within one MATLAB application, emulating node-associated reporting and contract-like automation. The results establish an application-level proof of concept for organizing fault-management information and operator feedback. Cryptographic consensus, physical interruption, and comparative protection performance remain outside the demonstrated scope. The prototype provides a basis for subsequent electrical modelling, distributed implementation, and reproducible cyber-physical evaluation.