Abstract

In order to improve the reliability and continuity of the power distribution system, power Internet of Things analysis monitoring system was constructed in this article, and the system was used for comprehensive applications such as data acquisition and fault analysis. Fault location methods considering distribution phasor measurement unit (D-PMU) information and network symmetry characteristics are proposed. With the measurement information provided by the D-PMU, the fault sections and the fault types are determined by the phase difference between the positive and negative sequence currents. Different location algorithms are obtained based on the load symmetry of the distribution network. The fault location method based on the line distribution parameters is used for the three-phase symmetric system, and the fault location method based on line impedance is proposed for the three-phase asymmetric system. Finally, the effect of different nodes with a D-PMU on the fault location accuracy is analyzed, and the configuration principle of the D-PMU was proposed. The PSCAD/MATLAB simulation software is used to analyze the example and verify the effectiveness of the proposed method. The simulation results demonstrate that high-precision fault location could be realized and that the practicality and economy are improved.

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