基于LSSVM的多端柔性直流输电线路单极接地故障定位方法

Ke Wei, Sheng Lan, Zhichuan Li
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摘要

为了保证多端柔性直流系统安全稳定运行,提高输电线路单极接地故障定位的准确性。提出一种基于最小二乘支持向量机(LSSVM)的单极接地故障定位方法。当发生接地故障时,结合最小二乘支持向量机的分类机制,串联不同区段的线模电压来识别故障区段。然后,结合Pearson相关系数,通过小波包分解提取该区段线模电压的频域特征,并根据特征结果建立LSSVM模型,实现故障定位。采用麻雀搜索算法对LSSVM模型的参数进行优化。本文建立了±500kV四端柔性直流仿真模型进行试验。结果表明,该方法具有良好的抗过渡能力,在50 kHz采样频率下,定位误差在0.37 km以内。
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Single-Pole Ground Fault Location Method for Multi-terminal Flexible DC Transmission Lines Based on LSSVM
In order to ensure the safe and stable operation of multi-terminal flexible DC system and improve the accuracy of single-pole grounding fault location of transmission lines. This paper proposes a single-pole grounding fault location method based on Least Squares Support Vector Machine (LSSVM). When the ground fault occurs, the line mode voltage of different sections in series is combined with the classification mechanism of least squares support vector machine to identify the fault section. Then, the frequency domain characteristics of the line mode voltage in this section are extracted by wavelet packet decomposition combined with Pearson correlation coefficient, and the LSSVM model is established based on the characteristic results to realize fault location. The sparrow search algorithm is used to optimize the parameters of LSSVM model. This paper established ± 500kV four-terminal flexible DC simulation model for testing. The results show that the method has good anti-transition resistance ability, and the location error is within 0.37 km at the sampling frequency of 50 kHz.
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