Synchro-Waveform Conversion for Unsynchronized Power Quality Meters
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Solution Overview
Problem
Existing power quality sensors lack time-synchronization capabilities, preventing the utilization of synchro-waveforms for power system monitoring and situational awareness, due to high costs or technical restrictions.
Innovation Solution
A data-driven method transforms asynchronous signals from conventional power quality meters into synchronized waveforms by aligning event signatures and estimating synchronization operators without relying on GPS, using optimization-based approaches to achieve computational efficiency and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based time synchronization is used, then time synchronization accuracy is improved, but device cost increases
Solution Approach 1:
The patent introduces an intermediary synchronization signal injection mechanism where a master clock generates synchronization signals that are injected into the power system through a coupling device. These signals serve as a mediator between the master clock and multiple slave clocks, enabling time synchronization without requiring expensive GPS receivers at each sensor location. The injection signal carries timing information that slave clocks can lock onto, achieving synchronization through this intermediary carrier rather than direct GPS reception.
Solution Approach 2:
The patent creates a copied timing signal by generating synchronization signals that replicate the master clock's timing information and distributing them through the power system infrastructure. Instead of each sensor independently receiving GPS signals, the system copies the master clock's timing pattern and propagates it through existing power lines and communication channels, providing a low-cost alternative to direct GPS reception at multiple locations.
2Device complexity
If conventional power quality sensors are used, then device cost is reduced, but time synchronization capability is lost
Solution Approach 1:
The patent enables conventional power quality sensors to achieve time synchronization capability through self-service by equipping them with software-based synchronization algorithms. The sensors autonomously process the injected synchronization signals, extract timing information, and adjust their local clocks accordingly. This eliminates the need for expensive hardware GPS receivers while restoring time synchronization capability through intelligent signal processing and algorithmic time alignment.
Solution Approach 2:
The patent changes the operational parameters of conventional sensors by modifying their software to recognize and process the injected synchronization signal format. The sensors transition from operating with independent unsynchronized clocks to operating with synchronized timing by detecting signal characteristics, measuring phase relationships, and adjusting their sampling and timestamping parameters based on the master clock's timing information.
3Ease of operation
If time stamps from conventional sensors are used, then data collection is simplified, but time synchronization accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the master clock continuously monitors the synchronization status of slave clocks and adjusts the injected signal parameters accordingly. The system measures the actual time offset between master and slave clocks, feeds this information back to the signal generation process, and dynamically adjusts the injection timing to compensate for drift and maintain accurate synchronization. This closed-loop control ensures time stamp accuracy is maintained over time.
Data Source
AI summary
A system and method transforms conventional waveform measurements from legacy power quality meters into synchro-waveforms. The system and method does not require legacy power quality meters to be equipped with GPS receivers or other time-synchronization hardware. Data-driven methods operate in two steps: first, they perform optimization-based event signature alignment, and then they use the results to estimate a synchronization operator between any two legacy meters.


