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| Series Arc Fault Identification in Low Voltage System Based on Autoregressive Parameter Model |
| Yong Jing, Gui Xiaozhi, Niu Liangliang, Zeng Liqiang |
| State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400030 China |
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Abstract This paper presents a series of experimental research results of series arc fault current characteristics in the circuits supplying for typical low-voltage single-phase electric appliances by using the arc generating device. A method based on autoregressive parameter model is proposed to identify series arc fault in low-voltage system. Its processes are as follows: built a 3-order Burg autoregressive (AR) model for the collected current signals, extracted its AR model parameters, and then realized the identification of normal circuit and series arc fault circuit by comparing distance measurement based Euclidean distance squares d 2 of their current signals. Experiments show that this approach not only be adequate for linear loads, but also for non-linear loads. In this paper, current signal recognition problem between non-linear load circuit and series arc fault circuit in low-voltage system is solved. Further more, it suggests a recommended value of the reference vector.
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Received: 13 August 2010
Published: 07 March 2014
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2011, Vol. 26 
