高压直流输电线路单端故障测距组合算法

行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固有频率计算出故障点位置的粗略值,确定故障反射波达到母线测点的时间范围。利用集成经验模态分解算法提取的行波高频分量,对反射波头进行有效识别并获取测距所需的精确时间参数,同时将该高频分量对应的行波波速利用到行波测距中,解决了波速选取的难题。PSCAD仿真结果表明,该测距算法可有效识别行波波头,且测距的精度得到明显提高。...

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Published in电力系统保护与控制 Vol. 42; no. 3; pp. 116 - 121
Main Author 李博雅 杨耀 杨立红
Format Journal Article
LanguageChinese
Published 沈阳工程学院,辽宁 沈阳,100136%河南省电力公司三门峡供电公司,河南 三门峡,472000%华北电力大学电气与电子工程学院,河北 保定,071003 2014
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Abstract 行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固有频率计算出故障点位置的粗略值,确定故障反射波达到母线测点的时间范围。利用集成经验模态分解算法提取的行波高频分量,对反射波头进行有效识别并获取测距所需的精确时间参数,同时将该高频分量对应的行波波速利用到行波测距中,解决了波速选取的难题。PSCAD仿真结果表明,该测距算法可有效识别行波波头,且测距的精度得到明显提高。
AbstractList TM77; 行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固有频率计算出故障点位置的粗略值,确定故障反射波达到母线测点的时间范围。利用集成经验模态分解算法提取的行波高频分量,对反射波头进行有效识别并获取测距所需的精确时间参数,同时将该高频分量对应的行波波速利用到行波测距中,解决了波速选取的难题。PSCAD仿真结果表明,该测距算法可有效识别行波波头,且测距的精度得到明显提高。
行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固有频率计算出故障点位置的粗略值,确定故障反射波达到母线测点的时间范围。利用集成经验模态分解算法提取的行波高频分量,对反射波头进行有效识别并获取测距所需的精确时间参数,同时将该高频分量对应的行波波速利用到行波测距中,解决了波速选取的难题。PSCAD仿真结果表明,该测距算法可有效识别行波波头,且测距的精度得到明显提高。
Abstract_FL There are two main factors influencing the accuracy and reliability of single-ended traveling wave fault location, namely the determination of traveling wave velocity and the time when the reflected wave fronts arrives. A new fault location method based on the travelling wave’s time-and frequency-characteristics combining with natural frequency is presented. It uses method based on natural frequency to calculate rough value of fault distance, and the time regions of reflected waves from fault point to detective bus are confirmed through the distance. Ensemble empirical mode decomposition is employed to extract the high-frequency component from traveling wave, recognize the reflected wave fronts and determine more accurate traveling wave time parameters. According to the propagation velocity of the frequency, the fault distance is calculated. The results of simulations by PSCAD show that the method proposed can effectively identify the initial traveling wave and improves the fault location accuracy obviously.
Author 李博雅 杨耀 杨立红
AuthorAffiliation 沈阳工程学院,辽宁沈阳100136 河南省电力公司三门峡供电公司,河南三门峡472000 华北电力大学电气与电子工程学院,河北保定071003
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Author_FL YANG Yao
LI Bo-ya
YANG Li-hong
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DocumentTitleAlternate A combined method of single-ended fault location for HVDC transmission lines
DocumentTitle_FL A combined method of single-ended fault location for HVDC transmission lines
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Keywords traveling wave
natural frequency
故障测距
行波
fault location
固有频率
高压直流
集成经验模态分解
ensemble empirical mode decomposition
HVDC
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Notes fault location; traveling wave; natural frequency; ensemble empirical mode decomposition; HVDC
LI Bo-ya, YANG Yao 2, YANG Li-hong3 (1. Shenyang Institute of Engineering, Shenyang 100136, China; 2. Sanmenxia Power Supply Company, Henan Electric Power Company, Sanmenxia 472000, China; 3. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)
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There are two main factors influencing the accuracy and reliability of single-ended traveling wave fault location, namely the determination of traveling wave velocity and the time when the reflected wave fronts arrives. A new fault location method based on the travelling wave's time- and frequency-characteristics combining with natural frequency is presented. It uses method based on natural frequency to calculate rough value of fault distance, and the time regions of reflected waves from fault point to detective bus are confirmed through the distance. Ensemble empirical mode decomposition is employed to extract
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PublicationTitle 电力系统保护与控制
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Publisher 沈阳工程学院,辽宁 沈阳,100136%河南省电力公司三门峡供电公司,河南 三门峡,472000%华北电力大学电气与电子工程学院,河北 保定,071003
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Snippet 行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固...
TM77; 行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用...
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SubjectTerms 固有频率
故障测距
行波
集成经验模态分解
高压直流
Title 高压直流输电线路单端故障测距组合算法
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