Transactions of China Electrotechnical Society  2019, Vol. 34 Issue (zk2): 720-728    DOI: 10.19595/j.cnki.1000-6753.tces.L80073
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Fault Distance Location of Active Distribution Network Based on 2-Norm Current Deviation
Liu Xin1, 2, Teng Huan1, 2, Liang Mengke3, Teng Deyun1, 2
1. Smart Grid Sichuan Key Laboratory Sichuan University Chengdu 610065 China;
2. School of Electrical Information Sichuan University Chengdu 610065 China;
3. State Grid Xinxiang Power Supply Company Xinxiang 453000 China

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Abstract  The access of the distributed power supply will affect or even invalidate the fault location algorithm of the traditional distribution network. Therefore, this paper proposes a fault location algorithm based on current deviation 2-norm. The algorithm firstly injects a unit current into each node of the distribution network, and obtains a linear proportional coefficient by matching the calculated value of the system power outlet current change with the measured value before the fault; then, correcting the current response value of the distributed power source, and then The current variation is subjected to 2-norm current deviation processing; finally, the fault region identification and fault distance location are performed by the node with the smallest current deviation. The algorithm takes into account the non-equilibrium characteristics of the active distribution network, and does not need to predict the type of fault, and has wide adaptability. By constructing the simulation model of the active distribution network on PSCAD/EMTDC, the fault data processing is performed on Matlab, which verifies the effectiveness and accuracy of the fault location algorithm.
Key wordsDistribution generation      active distribution network      fault area identification      fault distance positioning     
Received: 20 June 2018      Published: 02 January 2020
PACS: TM721  
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Liu Xin,Teng Huan,Liang Mengke等. Fault Distance Location of Active Distribution Network Based on 2-Norm Current Deviation[J]. Transactions of China Electrotechnical Society, 2019, 34(zk2): 720-728.
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