Common-cause failures in GNSS time synchronization for digital substations: terrestrial and spaceborne threats and temporal resilience measures

Abstract Certain digital-substation applications require precise, traceable and continuously available time, especially synchronized sampled values (SV), synchrophasors, disturbance records, sequence-of-events (SOE) logs and functions that compare measurements from different sources or terminals. This paper treats GNSS dependence as a common-cause failure (CCF): redundant receivers, antennas and networks do not provide functional independence when they share satellite signals, the radio-frequency environment, the ionosphere or external PNT infrastructure. The work is a structured engineering framework supported by a directed technical review, analytical sensitivity modelling and independent analysis of public hardware-laboratory SV/PTP captures under GNSS spoofing (KIT, 2026); the jamming results used here are those stated on the authors’ poster. It (i) gives a semi-quantitative taxonomy that separates existence, probability class, geographic scope, mechanism, consequence and mitigation; (ii) maps time degradation from GNSS through PTP, merging units, SV and IEDs, comparing two master clocks and two merging units from different manufacturers; (iii) extends the holdover model to non-constant drift and temperature, and distinguishes absolute from relative timing error; (iv) extends line-differential sensitivity to unequal magnitudes, independent per-terminal errors, channel asymmetry, CT error, percentage restraint and SmpSynch blocking; and (v) shows that a 10 ms asynchronous spoofing step held the stepping merging-unit pair near $$180^{\circ}$$ for 42 s and kept the slewing unit off its baseline for about 105 s (peak $$180^{\circ}$$ , not held for that whole window), and that a correct best-master-clock failover to a redundant grandmaster 10 ms away produced 12 s near $$180^{\circ}$$ on one pair in each of two windows and 75 s off baseline on the others, then a common 10 ms error for about 14 min during which only the active grandmaster kept healthy PTP attributes and, for the last 11 min, all three merging units published SmpSynch = 2. Temporal-dependence levels DT-0 to DT-4 are given numerical requirements and a validation table. The results support functional diversity, specified holdover and free-running limits, time-quality monitoring, documented degraded modes and targeted commissioning tests.

Authors

Publication Details

Journal
Journal of Electrical Systems and Information Technology
Published
2026-11-09
DOI
https://doi.org/10.1186/s43067-026-00412-3
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Common-cause failures in GNSS time synchronization for digital substations: terrestrial and spaceborne threats and temporal resilience measures

Enio Vieira Soares
Journal of Electrical Systems and Information Technology
Network Time Synchronization Technologies
article

Common-cause failures in GNSS time synchronization for digital substations: terrestrial and spaceborne threats and temporal resilience measures

Enio Vieira Soares
article en

Abstract

Abstract Certain digital-substation applications require precise, traceable and continuously available time, especially synchronized sampled values (SV), synchrophasors, disturbance records, sequence-of-events (SOE) logs and functions that compare measurements from different sources or terminals. This paper treats GNSS dependence as a common-cause failure (CCF): redundant receivers, antennas and networks do not provide functional independence when they share satellite signals, the radio-frequency environment, the ionosphere or external PNT infrastructure. The work is a structured engineering framework supported by a directed technical review, analytical sensitivity modelling and independent analysis of public hardware-laboratory SV/PTP captures under GNSS spoofing (KIT, 2026); the jamming results used here are those stated on the authors’ poster. It (i) gives a semi-quantitative taxonomy that separates existence, probability class, geographic scope, mechanism, consequence and mitigation; (ii) maps time degradation from GNSS through PTP, merging units, SV and IEDs, comparing two master clocks and two merging units from different manufacturers; (iii) extends the holdover model to non-constant drift and temperature, and distinguishes absolute from relative timing error; (iv) extends line-differential sensitivity to unequal magnitudes, independent per-terminal errors, channel asymmetry, CT error, percentage restraint and SmpSynch blocking; and (v) shows that a 10 ms asynchronous spoofing step held the stepping merging-unit pair near $$180^{\circ}$$ for 42 s and kept the slewing unit off its baseline for about 105 s (peak $$180^{\circ}$$ , not held for that whole window), and that a correct best-master-clock failover to a redundant grandmaster 10 ms away produced 12 s near $$180^{\circ}$$ on one pair in each of two windows and 75 s off baseline on the others, then a common 10 ms error for about 14 min during which only the active grandmaster kept healthy PTP attributes and, for the last 11 min, all three merging units published SmpSynch = 2. Temporal-dependence levels DT-0 to DT-4 are given numerical requirements and a validation table. The results support functional diversity, specified holdover and free-running limits, time-quality monitoring, documented degraded modes and targeted commissioning tests.

Journal of Electrical Systems and Information TechnologyVol. 13(1)
Karlsruhe Institute of Technology
Network Time Synchronization Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon