| 引用本文: | 王 玮,徐丙垠,邹国锋,孙中玉,梁 栋.基于电压特征能量的低压交流串联电弧故障检测方法[J].电力系统保护与控制,2023,51(19):81-93.[点击复制] |
| WANG Wei, XU Bingyin, ZOU Guofeng, SUN Zhongyu, LIANG Dong.Low-voltage AC series arc fault detection method based on voltage characteristic energy[J].Power System Protection and Control,2023,51(19):81-93[点击复制] |
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| 摘要: |
| 串联电弧故障电流波形受负荷类型影响较大，利用电流特征构建通用故障判据难度较大。为识别故障点电弧电压，提出了一种基于电压特征能量的串联电弧故障检测方法。首先，通过分析故障点电弧电压及监测点故障电压特征规律，对故障信息的特征频带选择进行了论证。然后，以不同负荷下的电弧电压波形特征归类为依据，提出了基于电压特征频带全域能量幅值和敏感相位域能量相位信息的故障检测方法。最后，利用全域总能量幅值和敏感域能量相位映射统计比实现了综合故障检测策略的构建。试验结果表明，所提方法在不同线路参数和测试负荷下的故障检测准确率超过了98%且无误检发生，验证了其有效性。 |
| 关键词: 串联电弧故障 电弧电压 特征频带能量 特征能量相位 特征能量相位映射 |
| DOI：10.19783/j.cnki.pspc.230215 |
| 投稿时间：2023-03-04修订日期：2023-05-16 |
| 基金项目:国家自然科学基金项目资助(52077221) |
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| Low-voltage AC series arc fault detection method based on voltage characteristic energy |
| WANG Wei1,XU Bingyin1,ZOU Guofeng1,SUN Zhongyu2,LIANG Dong1 |
| (1. School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China;
2. School of Electrical Engineering, Shandong University, Jinan 250100, China) |
| Abstract: |
| The current waveform of a series arc fault is greatly affected by the types of load, making it difficult to construct a universal criterion for fault detection using current characteristics. To identify the arc voltage at the fault point, a series arc fault detection method based on voltage characteristic energy is proposed. First, the selection of characteristic frequency bands for fault information is demonstrated by analyzing the characteristics of arc voltage at the fault point and fault voltage at the monitoring point. Then, based on the classification of arc voltage waveform characteristics under different loads, a fault detection method is proposed based on the whole domain energy amplitude and sensitive phase domain energy phase information of the voltage characteristic frequency band. Finally, the construction of a comprehensive fault detection strategy is achieved through the total energy amplitude of the whole domain and the statistical ratio of phase mapping of the sensitive domain. The experimental results show that the fault detection accuracy of the method exceeds 98% with different line parameters and test loads, and with no misdetections, verifying the effectiveness of the method. |
| Key words: series arc fault arc voltage characteristic band energy phase of characteristic energy phase mapping of characteristic energy |
