一个全面的指南,选择合适的波段分解水平和函数在离散波段转换,用于在配电网络故障检测的功能
Esraa M Shalby1,2, Almoataz Y Abdelaziz3,4, Eman S Ahmed5
1Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt. 2200859@eng.asu.edu.eg.
Scientific reports
|January 8, 2025
概括
这项研究增强了使用IEEE-16总线系统的波波分析来检测配电网络故障. 波形变换和SVM分类器准确地识别各种故障和短暂条件,即使与可再生能源集成.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
背景情况:
- 配电网络需要强大的故障检测方法.
- 来自故障和切换事件的非静止信号给分析带来了挑战.
研究的目的:
- 通过波纹分析来增强发电网络故障检测.
- 为了确定最优的波段参数和分类器,用于暂时故障信号处理.
主要方法:
- 使用MATLAB/Simulink对IEEE-16总线系统进行模拟.
- 使用 MATLAB 波形工具箱分析短暂故障电流信号.
- 对SVM分类器的分解水平和母波段 (例如,sym3) 的评估.
主要成果:
- 通过能量度 (D8尺度) 确定最佳分解水平.
- 对SVM分类器来说,Sym3波段函数表现出了优越的性能.
- 在检测/区分所有故障类型和短暂条件时几乎100%的准确性,包括9兆瓦风电场集成.
结论:
- 波形变换与SVM分类器相结合,提供高度准确的故障检测.
- 建议的方法对于使用可再生能源的复杂电力系统是有效的.
- 优化的波纹参数显著提高了故障检测性能.
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