|国家科技期刊平台
首页|期刊导航|广东电力|基于TT变换谐波显著化的双馈新能源场站送出线故障性质识别方法

基于TT变换谐波显著化的双馈新能源场站送出线故障性质识别方法OA北大核心CSTPCD

Fault Nature Identification Method for Transmission Line of Doubly-fed New Energy Cluster Station Based on TT Transform Harmonic Saliency

中文摘要英文摘要

故障性质识别是自适应重合闸的重要基础,而新能源集群并网改变了非全相运行期间的系统谐波特征,加剧了现有故障性质识别方案的误判或失效风险.为此,提出一种基于时-时(time-time,TT)变换谐波显著化的双馈新能源场站送出线故障性质识别方法.首先介绍非全相运行期间电弧和双馈风力机谐波馈出特性,分析重合闸期间的谐波特征变化原理;针对不同谐波场景,利用TT变换有效放大奇次谐波有效值特征,提升故障显度;通过阈值整定,构建适应双馈型新能源集群接入的故障性质与熄弧时刻判别方法.PSCAD 仿真验证结果表明,所提方法阈值整定灵活简便,能够在不同故障位置、不同故障角度和噪声干扰场景下准确判别故障性质和熄弧时刻.该方法在应对双馈型新能源集群接入时具备良好的适应性,弥补了传统故障性质识别方案的不足,有效提升新能源集中送出线路的故障性质识别准确率,有利于提高重合闸成功率.

Fault property identification is an important basis for adaptive reclosing.However,the grid connection of new energy clusters changes system harmonic characteristics during the open-phase operation and exacerbates the risk of misjudgement or failure of existing fault property identification schemes.Thus,this paper proposes a fault nature identification method for the transmission line of doubly-fed new energy cluster station based on TT transform harmonic saliency.Firstly,it introduces the harmonic feed-out characteristics of arc and doubly-fed induction generators(DFIG)during open-phase operation,and analyzes the principle of harmonic characteristic change during reclosing.To cope with different harmonic scenarios,it uses the time-time(TT)transform to effectively amplify the odd harmonic effective value characteristics and enhance the fault visibility.By threshold rectification,it constructs a fault nature and arc extinction moment identification method adapted to DFIG cluster access.PSCAD simulation verification shows that the proposed method is flexible and simple in threshold adjustment,which can accurately recognize the fault nature and arc extinction time in different fault locations,different fault angles and noise interference scenarios.This method has good adaptability when dealing with DFIG cluster access,and makes up for the shortcomings of the traditional fault nature identification scheme.The proposed method can also effectively improve the fault nature identification accuracy of new energy centralized transmission lines,which is conducive to improving the reclosing success rate.

吴佳毅;徐峰;郑燃;潘武略

国网浙江省电力有限公司,浙江 杭州 310000国网金华供电公司,浙江 金华 321000

动力与电气工程

故障性质识别熄弧判别集群双馈风力机场站故障谐波TT变换

fault nature identificationarc extinguishing judgmentDFIG cluster stationfault harmonicsTT transform

《广东电力》 2024 (006)

32-42 / 11

国网浙江省电力有限公司科技项目(5211JH230001)

10.3969/j.issn.1007-290X.2024.06.004

评论