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中国电机工程学报 2009, 29(1) 48-54 DOI: ISSN: 0258-8013 CN: 11-2107/TM

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继电保护、通信及自动化

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	继电保护
	输电线路
	并联电抗器
	单相自适应重合闸
	参数识别
	低频振荡分量
	本文作者相关文章
	索南加乐
	PubMed
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基于参数识别的单相自适应重合闸研究

索南加乐邵文权宋国兵

西安交通大学电气工程学院西安交通大学电气工程学院西安交通大学电气工程学院

摘要：在分析带并联电抗器输电线路单相故障特点的基础之上，提出一种利用参数识别原理的单相自适应重合闸永久性故障识别方法。该方法以恢复电压阶段的瞬时性故障p型等效模型为参数辨识模型，将并联电抗器电感和中性点小电抗电感参数作为辨识参数，利用电感参数求解值与真实值的差异来区分永久性故障和瞬时性故障。瞬时性故障情况下，故障模型与求解模型一致，电感求解值与实际值差异很小；永久性故障情况下，故障模型与求解模型不一致，电感求解值与实际值差异明显。该方法判别原理简单可靠，仅利用单端电气量，且不需要长数据窗滤波，理论上不受低频振荡分量的影响。大量ATP仿真表明，该文判别方法能够快速识别永久性故障，能够用于带并联电抗器输电线路的快速单相自适应重合闸。

关键词：继电保护输电线路并联电抗器单相自适应重合闸参数识别低频振荡分量

Study on Single-phase Adaptive Reclosure Scheme Based on Parameter Identification

SUONAN Jia-le SHAO Wen-quan SONG Guo-bing

Abstract: Based on analysis of single-phase fault for transmission lines with shunt reactors, a sing-phase adaptive reclosure scheme using parameter identification principle is proposed. The scheme uses p type equivalent model of transient fault as the prototype, and takes the inductances of shunt reactor and neutral reactor as the unknown parameters, and utilizes the difference between the solved inductances and the actual ones to distinguish permanent and transient fault. In the case of transient fault, the difference is minute because the fault model is consistent with the prototype, but for the permanent fault, the difference is notable, the fault model does not coincide with the prototype. Moreover, the developed algorithm is simple and only uses one-terminal data. Theoretically, the algorithm needs shorter data-window than the phasor-based algorithms and is uninfluenced by the low-frequency swing component. ATP simulation results show that the proposed scheme can reliably and effectively distinguish permanent fault from transient fault, and apply to the single-phase adaptive reclosure in transmission lines with shunt reactors.

Keywords: relaying protection transmission line shunt reactors single-phase adaptive reclosure parameter identification low-frequency swing component

收稿日期 2007-10-10 修回日期 1900-01-01 网络版发布日期

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通讯作者: 索南加乐

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作者Email: suonan@263.net;relay@mail.xjtu.edu.cn;suonan@263.com

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