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author:

祝光思涵 (祝光思涵.) [1] | 洪翠 (洪翠.) [2] (Scholars:洪翠)

Abstract:

本文提出一种结合电流积分变化趋势和时序卷积网络(TCN)-支持向量机(SVM)的直流配电网故障定位方法,以区分故障类型并实现直流配电网故障准确定位,为实现直流配电网保护奠定基础.首先计算故障电流的积分序列,并用变分模态分解(VMD)算法分解积分序列,将分解所得高频固有模态函数的特征量作为 TCN与 SVM组合模型的输入特征向量,实现故障线路定位和故障类型判定.仿真结果表明,该方法能快速定位故障线路,准确识别不同故障,并且有较好的适应性和具备一定的抗干扰能力.

Keyword:

变分模态分解(VMD) 时序卷积网络(TCN) 电流积分趋势 直流配电网故障定位

Community:

  • [ 1 ] [洪翠]福州大学
  • [ 2 ] [祝光思涵]福州大学

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Source :

电气技术

ISSN: 1673-3800

Year: 2025

Issue: 2

Volume: 26

Page: 1-13

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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