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首页> 外文期刊>Elektronika ir Elektrotechnika >Identification of Low Voltage AC Series Arc Faults by using Kalman Filtering Algorithm
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Identification of Low Voltage AC Series Arc Faults by using Kalman Filtering Algorithm

机译：基于卡尔曼滤波算法的低压交流串联电弧故障识别

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摘要

Arc faults often occur in residential low voltage AC supply environment. It is dangerous because the sparks accompanying with arc faults may lead to electric fire even safety hazard. Effective methods of arc faults diagnosis in circuits are essential for safety interrupters in household. A novel method for low voltage AC series arc faults identification based on time-domain feature extraction by using Kalman filtering algorithm is proposed in this paper. This method monitors the instantaneous value of series current in circuits, calculates an elaborate pre-designed eigenvalue each power cycle by using Kalman filter with acquired current samples, and compares the eigenvalue with a reference value. Once the deviation between them exceeded a predefined threshold in continuous eight power cycles, the method reports an arc fault. Experimental research was studied in laboratory with typical electrical loads using the proposed arc faults identification method. Results show that it is applicable to detect arc faults within eight power cycles. The response time of the method could fit the minimum requirements of the standard UL1699.
机译：电弧故障通常发生在住宅低压交流电源环境中。这是危险的，因为伴随电弧故障的火花可能会导致电击甚至安全隐患。诊断电路中电弧故障的有效方法对于家庭安全灭弧室至关重要。提出了一种基于卡尔曼滤波的时域特征提取的低压交流串联电弧故障识别新方法。该方法监视电路中的串联电流的瞬时值，通过使用卡尔曼滤波器和获取的电流样本来计算每个功率周期精心设计的本征值，并将本征值与参考值进行比较。一旦它们之间的偏差在连续的八个电源循环中超过预定义的阈值，该方法就会报告电弧故障。利用提出的电弧故障识别方法，在具有典型电气负载的实验室中进行了实验研究。结果表明，该方法适用于在八个电源周期内检测电弧故障。该方法的响应时间可以满足标准UL1699的最低要求。

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