基于能量比与FLS的UHVDC输电线路故障处理方法*

doi:10.11985/2021.03.011

电气工程学报 ›› 2021, Vol. 16 ›› Issue (3): 77-84.doi: 10.11985/2021.03.011

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基于能量比与FLS的UHVDC输电线路故障处理方法^*

汪玉¹(), 汤汉松²(), 李远松¹(), 汪勋婷¹(), 何开元¹, 张峰¹()

1.国网安徽省电力有限公司电力科学研究院合肥 230061
2.江苏凌创电气自动化股份有限公司镇江 212009

收稿日期:2020-09-20 修回日期:2021-03-13 出版日期:2021-09-25 发布日期:2021-10-29
通讯作者: 汤汉松 E-mail:303959568@qq.com;jslcnt7000@163.com;gobys@qq.com;1345666827@qq.com;stuzhangfeng@sina.com
作者简介:* 汤汉松,男,1974年生,工程师。主要研究方向为智能电网技术研究和电子式互感器相关技术。E-mail： jslcnt7000@163.com
汪玉,男,1987年生,博士,高级工程师。主要研究方向为电力系统继电保护技术。E-mail： 303959568@qq.com
李远松,男,1989年生,硕士,工程师。主要研究方向为继电保护及自动化。E-mail： gobys@qq.com
汪勋婷,女,1992年生,硕士,助理工程师。主要研究方向为智能电网,继电保护,新能源等。E-mail： 1345666827@qq.com
张峰,男,1991年生,硕士,工程师。主要研究方向为智能电网,继电保护,新能源等。E-mail： stuzhangfeng@sina.com
基金资助:
* 国家重点研发计划资助项目(2017YFB0902800)

UHVDC Transmission Line Fault Diagnosis Method Based on Energy Ratio and FLS

WANG Yu¹(), TANG Hansong²(), LI Yuansong¹(), WANG Xunting¹(), HE Kaiyuan¹, ZHANG Feng¹()

1. State Grid Anhui Electric Power Research Institute, Hefei 230061
2. Jiangsu LingChuang Electric Automation Co., Ltd., Zhenjiang 212009

Received:2020-09-20 Revised:2021-03-13 Online:2021-09-25 Published:2021-10-29
Contact: TANG Hansong E-mail:303959568@qq.com;jslcnt7000@163.com;gobys@qq.com;1345666827@qq.com;stuzhangfeng@sina.com

摘要/Abstract

摘要：

针对特高压直流输电(Ultra-high voltage direct current,UHVDC)线路中故障区段识别范围广且分类准确率较低的问题,提出了基于能量比优化与模糊逻辑系统(Fuzzy logic system,FLS)的UHVDC输电线路故障区段识别与分类方法。利用全电流代替低频分量优化故障信号的能量比,并将故障区段能量比变化特性用于故障特征提取。将获得的故障特征作为提出的三个FLS模块的输入,该模块分别实现交直流段的故障检测、故障区段的识别以及故障极点的识别与分类。利用Matlab平台搭建线路模型验证所提方法在故障距离、功率角、直流偏置等影响因素下的性能。试验结果表明所提方法的故障检测识别时间短且准确率高。

关键词: UHVDC输电, 能量比优化, 模糊逻辑系统(FLS), 故障区段检测, 特征提取

Abstract:

Aiming at the problem of wide range of fault section identification and low classification accuracy in UHVDC transmission line, a method of fault section identification and classification based on energy ratio optimization and fuzzy logic (FLS) is proposed. Firstly, the energy ratio of fault signal is optimized by using full current instead of low frequency component, and the energy ratio variation characteristic of fault region is used for fault feature extraction. Then, the fault features obtained are used as the input of the three FLS modules, which respectively realize the fault detection of AC and DC sections, the identification of fault sections and the identification and classification of fault poles. Finally, the Matlab platform is used to build a circuit model to verify the performance of the proposed method under the influence of fault distance, power angle, DC bias and other factors. The experimental results demonstrate that the proposed method has short time-consuming and high accuracy of fault detection.

Key words: UHVDC transmission, energy ratio optimization, fuzzy logic system(FLS), fault section detection, feature extraction

中图分类号:

TM89

汪玉, 汤汉松, 李远松, 汪勋婷, 何开元, 张峰. 基于能量比与FLS的UHVDC输电线路故障处理方法^*[J]. 电气工程学报, 2021, 16(3): 77-84.

WANG Yu, TANG Hansong, LI Yuansong, WANG Xunting, HE Kaiyuan, ZHANG Feng. UHVDC Transmission Line Fault Diagnosis Method Based on Energy Ratio and FLS[J]. Journal of Electrical Engineering, 2021, 16(3): 77-84.

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参考文献 16

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故障类型及距离	R_f/Ω	故障方向			截面识别
		故障方向			截面1			截面2
		输出		时间/ms	输出	时间/ms		输出	时间/ms
无故障	—	0		—	—		—	—	—
内部接地故障e3,0	0	1		2	1		3	0	—
e1,0	0	1	4		1		2	0	—
e1,5	200	1	2		1		5	0	—
e2,0	100	1	2		1		3	0	—
e2,1 060	200	1	9		1		9	0	—
e3,1 060	200	1	10		1		9	0	—
e3,1 060	500	1	8		1		8	0	8
e4,0	200	1	10		0		—	-1	6
e4,5	0	1	8		0		—	-1	8
e5,5	0	1	8		0		—	-1	7

故障定位/km	截面1		截面2		辨识结果
故障定位/km	输出	时间/ms	输出	时间/ms	辨识结果
e1(1 087)	1	8	0	—	内部故障
e1(1 088)	1	9	0	—	内部故障
e1(1 089)	1	9	0	—	内部故障
e2(1 090)	1	9	0	—	内部故障
e2(1 091)	1	11	0	—	内部故障
e1(2)	1	2	0	—	内部故障
e1(2.5)	1	3.0	0	—	内部故障
e2(3)	1	3.2	0	—	内部故障
e2(3.5)	1	3.5	0	—	内部故障
e2(5)	1	3.7	0	—	内部故障

基于能量比与FLS的UHVDC输电线路故障处理方法^*

UHVDC Transmission Line Fault Diagnosis Method Based on Energy Ratio and FLS

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