A Line Voltage Fault Phase Selection Method Suitable for Doubly-Fed Wind Farm Transmission Line

GAO Shuping; YU Kun; SONG Guobing

doi:10.7652/xjtuxb202310016

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A Line Voltage Fault Phase Selection Method Suitable for Doubly-Fed Wind Farm Transmission Line

更新时间：2025-05-08

- A Line Voltage Fault Phase Selection Method Suitable for Doubly-Fed Wind Farm Transmission Line
- Vol. 57, Issue 10, Pages: 163-172(2023)
- 作者机构：
  
  1. 西安科技大学电气与控制工程学院,西安,710054
  2. 西安市电气设备状态监测与供电安全重点实验室,西安,710054
  3. 西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202310016
  CLC： TM771
- Online First：10 October 2023，
  
  Published：2023
- 稿件说明：
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GAO Shuping, YU Kun, SONG Guobing. A Line Voltage Fault Phase Selection Method Suitable for Doubly-Fed Wind Farm Transmission Line[J]. 2023, 57(10): 163-172.
DOI：

GAO Shuping, YU Kun, SONG Guobing. A Line Voltage Fault Phase Selection Method Suitable for Doubly-Fed Wind Farm Transmission Line[J]. 2023, 57(10): 163-172. DOI： 10.7652/xjtuxb202310016.

摘要

为了有效识别风电系统在发生短路故障时的故障相

避免因传统选相元件的适用性问题造成损失

提出了一种适用于风电场线电压之间的相关性判别选相方法。首先

分析了风电系统在故障期间的拓扑网络

利用相模变换以及边界条件确定故障后风电场的线电压表达式; 然后

分析线电压之间的故障特征

发现在短路故障发生后

各线电压之间主要关系与系统的等值阻抗有关

不同短路故障的线电压突变量具备独特的关联性; 紧接着

利用Pearson相关性算法

根据短路故障特征确定相应的选相判据进行故障选相; 最后

通过PSCAD搭建双馈风电场并网模型并进行各种故障仿真

输出故障数据

利用MATLAB对不同故障条件下的数据进行处理以及对所提线电压故障选相方法进行验证。仿真结果表明

在不同故障类型中该方法均可以有效识别故障相

并且不受故障位置以及过渡电阻阻值大小的影响

可有效应对风电系统弱馈性、频率偏移以及正负序阻抗不稳定等问题。

Abstract

In order to effectively identify the fault phase of a wind power system during the short-circuit fault and avoid the loss caused by the applicability of traditional phase selection components

a phase selection method suitable for the correlation between the line voltages of wind farms was proposed in this paper. First

the topological network of the wind power system during the failure period was analyzed

and the linear voltage expression of the wind farm after the failure was determined by using phase-mode transformation and boundary conditions. Then

through the analysis of the fault characteristics between the line voltages

it was found that after a short-circuit fault occurs

the main relationship between line voltages was related to the equivalent impedance of the system

and the voltage transient quantities of different short circuit faults have unique correlations. Subsequently

the Pearson correlation algorithm was used to determine the corresponding phase selection criteria based on the short-circuit fault characteristics

according to which fault phase selection can be carried out. Finally

the grid-connected model of the doubly-fed wind farm was built through PSCAD and various fault simulations were carried out to output fault data. MATLAB was used to process the data under different fault conditions to verify the phase selection method of the line voltage fault. The simulation results show that the proposed method can effectively identify the fault phase in different fault types

and is not affected by the fault location and the value of the transition resistance. It can effectively deal with the problems such as weak feedback

frequency offset and instability of positive and negative sequence impedance of the wind power system.

关键词

Keywords

references

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