| 引用本文: | 蔺 华,王子龙,郭振华,等.考虑弧长动态变化的配电网电弧接地故障建模及辨识[J].电力系统保护与控制,2022,50(7):31-39.[点击复制] |
| LIN Hua,WANG Zilong,GUO Zhenhua,et al.Modeling and identification of a distribution network arc grounding fault considering arc length dynamic variation[J].Power System Protection and Control,2022,50(7):31-39[点击复制] |
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| 摘要: |
| 目前针对配电网电弧故障的研究大多忽略电弧弧长变化因素的影响，电弧故障模型与实际配电网电弧故障相差较大，电弧接地故障辨识不准确。为此，搭建了考虑弧长动态变化的电弧接地故障模型。在此基础上，分析了电弧接地故障稳态零序电流的时域波形差异，提出了一种基于稳态零序电流加权欧式距离的电弧接地故障辨识方法，实现对电弧故障的有效辨识。利用PSCAD搭建10 kV配电网模型，大量电弧接地故障仿真实验结果表明，所提电弧故障模型准确有效，可以准确描述电弧电流、电压和故障特性。所提辨识方法能够准确辨识故障类型，且所提方法不受故障初相角、故障位置的影响，为配电网故障精准可靠感知提供依据。 |
| 关键词: 配电网 电弧故障 电弧模型 加权欧氏距离 故障辨识 |
| DOI：DOI: 10.19783/j.cnki.pspc.210897 |
| 投稿时间：2021-07-13修订日期：2021-10-13 |
| 基金项目:国家电网有限公司科技项目资助(J2021032)；国家自然科学基金面上项目(52077215)；江苏省自然科学基金面上项目(BK20201348) |
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| Modeling and identification of a distribution network arc grounding fault considering arc length dynamic variation |
| LIN Hua,WANG Zilong,GUO Zhenhua,ZHANG Peng,WANG Quanjin,LIANG Rui |
| (1. Lianyungang Branch, State Grid Jiangsu Electric Power Co., Ltd., Lianyungang 222000, China;
2. School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221000, China;
3. Dezhou Power Supply Company, State Grid Shandong Electric Power Company, Dezhou 253000, China) |
| Abstract: |
| At present, the influence of arc length variation on an arc fault in a distribution network is mostly ignored. The arc fault model is quite different from the actual arc fault in a distribution network, and the identification of an arc grounding fault is inaccurate. Therefore, in this paper, an arc grounding fault model considering arc length dynamic variation is established. The time-domain waveform difference of the steady-state zero-sequence current of an arc grounding fault is analyzed, and an identification method for the fault based on weighted Euclidean distance of the steady-state zero-sequence current is proposed to realize effective identification. A 10 kV distribution network model is built using PSCAD. A large number of arc grounding fault simulation results show that the model presented is accurate and effective, and can accurately describe the arc current, voltage and fault characteristics. The identification method can accurately identify all of fault types, and is not affected by the fault initial phase angle and fault location. This provides a reliable basis for accurate and reliable perception of distribution network faults.
This work is supported by the Science and Technology Project of State Grid Corporation of China (No. J2021032). |
| Key words: power distribution network arc faults arc model weighted Euclide distance fault identification |
