| 引用本文: | 费春国,李春信.基于电压振幅和支持向量回归机的高压电力输电线故障定位[J].电力系统保护与控制,2018,46(13):27-32.[点击复制] |
| FEI Chunguo,LI Chunxin.Fault location in high voltage power transmission based on voltage amplitude and support vector regression[J].Power System Protection and Control,2018,46(13):27-32[点击复制] |
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| 摘要: |
| 针对高压电力输电线智能定位法中由于采用特征提取算法导致定位速度慢的问题，提出一种基于电压振幅和支持向量回归机的高压电力输电线故障智能定位系统。首先使用Matlab建立一条220 kV/300 km的高压电力输电线，并在此输电线上模拟出不同过渡电阻、不同位置、不同故障类型和故障初始角的故障信号。此系统使用单端测量方式，并只采集电压故障信号。采集到的电压故障信号经过低通滤波剔除干扰信号后，提取故障点后1/2周期的电压幅值作为故障特征信号，由支持向量回归机对故障特征信号进行训练和验证，实现对故障的精准定位。仿真研究表明，此系统不仅在很大程度上提高了故障定位的速度，而且故障定位的精度也非常高。 |
| 关键词: 高压输电线 电压振幅 支持向量回归 故障定位 智能定位法 |
| DOI：10.7667/PSPC170956 |
| 投稿时间：2017-06-26修订日期：2018-02-04 |
| 基金项目:国家自然科学基金项目资助(61403395) |
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| Fault location in high voltage power transmission based on voltage amplitude and support vector regression |
| FEI Chunguo,LI Chunxin |
| (College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China) |
| Abstract: |
| Using feature extraction algorithm reduces the speed of intelligent fault location for HV power transmission line. To improve the speed, a novel high voltage power transmission line intelligent fault location scheme is proposed, combining with voltage amplitude and Support Vector Regression (SVR). Firstly, a 220 kV/300 km transmission line power system is set up by Matlab, all various fault impedances, various types of faults at different locations and various fault inception angles are simulated on the system. The system uses single-end measurements and only collects voltage fault signals. The collected fault voltage signals are inputted into low-pass filter to eliminate the noises. Then, voltage amplitude from 1/2 cycle of post fault signals are extracted and applied as fault feature signals. A SVR is trained and verified with the fault feature signals. Consequently, the precise location of fault on the transmission line is realized. The simulation results show that the system not only improves the speed of fault location to a large extent, but also has high accuracy of fault location. This work is supported by National Natural Science Foundation of China (No. 61403395). |
| Key words: high voltage power transmission voltage amplitude support vector regression fault location intelligent fault location method |
