Research on high-precision synchronous output technology of multi-reference source weighted synthesis in power system

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Cyber-Physical Systems: Theory and Applications Pub Date : 2023-05-16 DOI:10.1049/cps2.12051
Ling Teng, Fangyun Dong, Hui Zhang, Huixia Ding
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Abstract

The massive perception data based on efficient analysis and intelligent decision have put forward higher requirements for high-precision time synchronisation with the construction and development of smart power grid. However, multi-reference source time-frequency synchronisation of power system only selects the best method after comparison, which cannot make the most efficient use of the existing resources. It also cannot meet the need for high-precision time synchronisation of future power system. The existing multi-reference source synthesis algorithms cannot take into account both long-term stability and high-precision synchronous output. This article presents a multi-reference source weighted improved noise model and the high-precision output method. The multi-reference source error after classification is eliminated by leading into classification vector and classification coefficient. The synthesised frequency offset or the time precision of output can be optimised as the objective function by weighted classification algorithm and genetic algorithm. A simulation example based on the synthesis of two satellite system clock sources and three local caesium reference sources shows that the peak value of long-term output accuracy is controlled within 10 ns after classification weighted synthesis and optimisation, which is better than that of any single reference source.

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电力系统多参考源加权合成高精度同步输出技术研究
随着智能电网的建设和发展,基于高效分析和智能决策的海量感知数据对高精度时间同步提出了更高的要求。然而,电力系统的多参考源时间频率同步只是在比较后选择最佳方法,无法最有效地利用现有资源。这也无法满足未来电力系统高精度时间同步的需求。现有的多参考源合成算法无法兼顾长期稳定性和高精度同步输出。本文提出了一种多参考源加权改进噪声模型和高精度输出方法。通过引入分类向量和分类系数,消除了分类后的多参考源误差。合成的频率偏移或输出的时间精度可作为目标函数,通过加权分类算法和遗传算法进行优化。基于两个卫星系统时钟源和三个本地铯参考源合成的仿真实例表明,经过分类加权合成和优化后,长期输出精度的峰值可控制在 10 ns 以内,优于任何单一参考源。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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