1.国网安徽省电力有限公司，安徽省合肥市 230061;2.清华大学电机工程与应用电子技术系，北京市 100084
1.State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
High resistance grounding faults in distribution networks are usually accompanied by nonlinear arcs.The traditional fixed resistance model cannot simulate the nonlinearity of the arc. The differential arc model relies on the iteration of the parameters, which is difficult to directly apply to related fault detection and ranging algorithms. The logarithmic arc model is more complicated and easy to diverge when expanded in series. The method of artificially simulating such faults to obtain experimental data is costly, harmful and has certain limitations. Based on the Thompson principle, an exponential arc model and its simplified model are established to describe the nonlinear characteristics of dynamic arc. The validity of the model is verified by PSCAD and field data. Aiming at the deficiency that the arc model can not represent the phase angle difference between arc voltage and current, a data correction algorithm is proposed to provide more accurate data support for the follow-up research of arc high resistance grounding fault.
SHAO Qingzhu, CUI Xin, XIE Min, et al. Fault Modeling and Data Correction Algorithm for Arc High Resistance Grounding Fault[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200605005.