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弧光高阻接地故障建模及数据修正算法
作者:
作者单位:

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

摘要:

配电网高阻接地故障通常伴随着非线性电弧的产生。传统的固定电阻模型无法模拟电弧的非线性;微分形式的电弧模型依赖于参数的迭代,难以直接应用于相关的故障检测及测距算法中;对数电弧模型较为复杂,按级数展开时易发散。人工模拟此类故障获取实验数据的方法成本高、危害性大且具有一定的局限性。基于汤逊原理,文中建立了能够表征动态电弧非线性特征的指数电弧模型及其简化模型,并结合PSCAD仿真软件及现场数据验证了模型的有效性。针对该电弧模型无法表征电弧电压、电流间相角差的不足,进一步提出了数据修正算法,为后续弧光高阻接故障的研究提供了更为精确的数据支撑。

关键词:

基金项目:

国家重点研发计划资助项目(2017YFB0902800)。

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作者简介:


Fault Modeling and Data Correction Algorithm for Arc High Resistance Grounding Fault
Author:
Affiliation:

1.State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

Abstract:

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.

Keywords:

Foundation:
This work is supported by National Key R&D Program of China (No. 2017YFB0902800).
引用本文
[1]邵庆祝,崔鑫,谢民,等.弧光高阻接地故障建模及数据修正算法[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20200605005.
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.
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  • 收稿日期:2020-06-05
  • 最后修改日期:2021-02-19
  • 录用日期:2020-11-30
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