Global sample synchronization trigger

Monteiro, Carlos Augusto Machado; Souza, Celso Luis de; Dalmas, Marcelo

doi:10.1109/ispcs.2016.7579508

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…Specifically, the Analog-to-Digital Converter (ADC) triggered by the local oscillator is reset at each rising edge of the Pulse Per Second (PPS) signal to achieve synchronization once every second (AbdelRaheem et al, 2022;Pardo-Zamora et al, 2021;Monteiro et al, 2016). However, discrepancies between the PPS signal and the local oscillator's clock domain may result in variations in the actual sampling interval compared to the ideal interval, leading to what is known as Sampling Time Error (STE) (Yao et al, 2018;AbdelRaheem et al, 2022), as illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Synchronized measurement method for urban distribution networks based on proportional-integral control

Yin,

Yu,

Liang

et al. 2024

Front. Energy Res.

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In the context of the rising prevalence of renewable energy, the need for precise and synchronized measurements in urban distribution networks has become increasingly critical. Conventional synchronization techniques, which predominantly depend on Global Navigation Satellite System (GNSS) timing signals, are often plagued by significant sampling time errors. Addressing this challenge, this study introduces an innovative automatic synchronization measurement method employing proportional-integral (PI) control. This method is composed of three integral components: the monitoring of local clock phases via pulses per second (PPS) signals, modulation of the clock phase through a PI controller, and the estimation of grid phasors from the synchronized sampled data. The test results of this method on a hardware platform demonstrate its capability to significantly reduce the sampling error from 2 × 10−3 V to an impressive 1 × 10−5 V, while also meeting the requirements of the synchronized phasor measurement standards outlined in C37.118.1. These advancements underscore the significant potential of PI-controlled simultaneous sampling in enhancing the operational efficiency and reliability of urban distribution networks, particularly in environments with a high integration of renewable energy sources.

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