Fault Management in MVDC Grids Using Blockchain and Smart Contracts: A Decentralization Approach

Medium-voltage direct-current (MVDC) networks facilitate the integration of renewable generation, energy storage, and power-electronic converters, but their protection requires rapid local fault response and reliable coordination among distributed components. This paper proposes a proof-of-concept decentralized fault-management architecture that separates local anomaly detection from permissioned-blockchain-based coordination and auditing governed by a smart-contract state machine. Beyond an initial paired 50-run threshold study, a fixed-seed Monte Carlo stress test involving 2,000 events evaluates threshold uncertainty, temporary voltage sags, high-impedance-fault surrogates, sensor errors, reported-data manipulation, and 5% message loss. At thresholds of 0.6, 0.7, and 0.8 pu, the measured sensitivities were 61.73%, 77.05%, and 91.36%, respectively, while the corresponding false-positive rates were 0%, 0%, and 5.49%. Under a common logical benchmark, the blockchain-quorum coordination path achieved 91.85% accuracy and 89.59% sensitivity, with a modeled coordination latency of 1.362 ± 0.185 s. These latency results indicate that blockchain-based coordination is unsuitable as a replacement for primary high-speed DC protection. Additional quorum-delivery and message-complexity models quantify the effects of validator count and packet loss. Overall, the results demonstrate the architectural feasibility of blockchain-assisted MVDC coordination, including traceable state sequencing and reproducible logical evaluation, within the assumptions of the proposed models. Electromagnetic-transient (EMT) simulation, converter and breaker modeling, network emulation, and hardware-in-the-loop (HIL) testing are required before field deployment.

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Publication Details

Journal
International Journal of Innovative Technology and Interdisciplinary Sciences
Published
2026-10-26
DOI
https://doi.org/10.15157/ijitis.2026.9.3.2226-2269
Primary Topic
Power Systems Fault Detection
Type
article
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article

Fault Management in MVDC Grids Using Blockchain and Smart Contracts: A Decentralization Approach

Ganesan Sivarajan, Ramanarayana Nandigam, Veera Kumari Maddipati, Subramanian Srikrishna
3 links
International Journal of Innovative Technology and Interdisciplinary Sciences
Power Systems Fault Detection
article

Fault Management in MVDC Grids Using Blockchain and Smart Contracts: A Decentralization Approach

Ganesan Sivarajan, Ramanarayana Nandigam, Veera Kumari Maddipati, Subramanian Srikrishna
article en

Abstract

Medium-voltage direct-current (MVDC) networks facilitate the integration of renewable generation, energy storage, and power-electronic converters, but their protection requires rapid local fault response and reliable coordination among distributed components. This paper proposes a proof-of-concept decentralized fault-management architecture that separates local anomaly detection from permissioned-blockchain-based coordination and auditing governed by a smart-contract state machine. Beyond an initial paired 50-run threshold study, a fixed-seed Monte Carlo stress test involving 2,000 events evaluates threshold uncertainty, temporary voltage sags, high-impedance-fault surrogates, sensor errors, reported-data manipulation, and 5% message loss. At thresholds of 0.6, 0.7, and 0.8 pu, the measured sensitivities were 61.73%, 77.05%, and 91.36%, respectively, while the corresponding false-positive rates were 0%, 0%, and 5.49%. Under a common logical benchmark, the blockchain-quorum coordination path achieved 91.85% accuracy and 89.59% sensitivity, with a modeled coordination latency of 1.362 ± 0.185 s. These latency results indicate that blockchain-based coordination is unsuitable as a replacement for primary high-speed DC protection. Additional quorum-delivery and message-complexity models quantify the effects of validator count and packet loss. Overall, the results demonstrate the architectural feasibility of blockchain-assisted MVDC coordination, including traceable state sequencing and reproducible logical evaluation, within the assumptions of the proposed models. Electromagnetic-transient (EMT) simulation, converter and breaker modeling, network emulation, and hardware-in-the-loop (HIL) testing are required before field deployment.

International Journal of Innovative Technology and Interdisciplinary Sciences
Government of Tamil Nadu (IN), Annamalai University (IN)
Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 18%
Power Systems Fault Detection
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