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A sub-μs accuracy GPS alternative using electrical transmission grids as precision timing networks.
Stephen Robson1, Manu Abderrahmane Haddad2
1Advanced High Voltage Engineering Research Centre, Cardiff University, Cardiff, CF24 3AA, UK. robsons1@cardiff.ac.uk.
This study introduces a Global Navigation Satellite System (GNSS) alternative for precise time synchronization using power line networks. The method ensures reliable timing during GNSS outages, enhancing grid security.
Area of Science:
- Electrical Engineering
- Communications Engineering
- Network Security
Background:
- Over-reliance on Global Navigation Satellite System (GNSS) for time synchronization poses a significant risk to critical infrastructure.
- A robust alternative to GNSS is essential for maintaining societal functions during potential outages or attacks.
Purpose of the Study:
- To propose and validate a novel time dissemination method over national power transmission and distribution networks.
- To provide a resilient and secure alternative to GNSS for time synchronization in smart grid applications.
Main Methods:
- Utilizing existing power line carrier technology bandwidth and coupling with chirp Spread Spectrum modulation for time signal transmission.
- Implementing a correlation algorithm for time-of-flight estimation and correction during GNSS outages.
- Developing an FPGA prototype for experimental validation and performance assessment.
Main Results:
- Simulations demonstrate sub-microsecond timing accuracy on large transmission networks, even with low signal-to-noise ratios and impulsive noise.
- Experimental results confirm sub-microsecond accuracy for time dissemination over 700 meters using an FPGA prototype.
- Averaging techniques show potential for extending the system's range to a national scale.
Conclusions:
- The proposed power line-based time dissemination system offers a viable and secure alternative to GNSS.
- The technology provides high timing accuracy suitable for smart grid applications and is invulnerable to common wireless threats.
- This method enhances the resilience of critical infrastructure by mitigating GNSS dependency.
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