引用本文: | 牛伟民,樊艳芳,侯俊杰,张鑫宇,马 健.基于正序阻抗幅值比的风电场送出线路纵联保护[J].电力系统保护与控制,2023,51(16):179-187.[点击复制] |
NIU Weimin,FAN Yanfang,HOU Junjie,ZHANG Xinyu,MA Jian.Pilot protection of wind farm transmission lines based on the positive sequence impedance amplitude ratio[J].Power System Protection and Control,2023,51(16):179-187[点击复制] |
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摘要: |
针对风电场送出线路纵联保护在数据延时传输及异常采样数据下保护性能不佳的问题,提出了基于正序阻抗幅值比的纵联保护。通过分析风电系统送出线路发生区内外故障时正序阻抗幅值特征,得出区内外故障下双端正序阻抗幅值差异比特征不同。引入综合层次聚类(balanced iterative reducing and clustering using hierarchies, BIRCH)方法剔除正序阻抗幅值序列中异常采样数据,形成不含异常采样数据的故障时间序列聚类特征,并结合双端正序阻抗幅值差异比特征,构造不受数据延时传输影响的纵联保护判据。仿真结果表明,所提出的纵联保护不受系统运行工况、故障类型、数据延时传输及异常采样数据的影响。在过渡电阻达到150 时,所提出的纵联保护仍能正确判别故障方向,具有较强的抗噪性能,适用于含风电接入的弱馈型电力系统。 |
关键词: 风电场 纵联保护 数据延时 异常采样数据 BIRCH方法 |
DOI:10.19783/j.cnki.pspc.221659 |
投稿时间:2022-10-18修订日期:2022-12-29 |
基金项目:国家自然科学基金项目资助(51877185);2022
天山英才培养计划项目资助(2022TSYCLJ0019);新疆维吾尔
自治区自然科学基金项目资助(2022D01C662) |
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Pilot protection of wind farm transmission lines based on the positive sequence impedance amplitude ratio |
NIU Weimin1,FAN Yanfang1,HOU Junjie1,ZHANG Xinyu2,MA Jian2,3 |
(1. School of Electrical Engineering, Xinjiang University, Urumqi 830046, China; 2. State Grid Xinjiang Electric Power
Co., Ltd. Electric Power Research Institute, Urumqi 830011, China; 3. Xinjiang Key Laboratory of
Whole Process Simulation of Power System, Urumqi 830011, China) |
Abstract: |
To help solve protection performance problems of wind farm transmission line pilot protection in the data delay transmission and abnormal sampling data, this paper proposes a positive sequence impedance amplitude ratio based on pilot protection. By analyzing the positive sequence impedance amplitude characteristics of the wind power system transmission line inside and outside area, it is concluded that the positive sequence impedance amplitude difference ratio characteristics of the double-ended positive sequence impedance are different under the fault inside and outside area. The balanced iterative reducing and clustering using hierarchies (BIRCH) clustering method is introduced to remove the abnormal sampling data from the positive sequence impedance magnitude sequence and form the fault time series clustering features without abnormal sampling data. This is combined with the double-ended positive sequence impedance magnitude difference ratio features to construct the pilot protection criterion. This is not affected by the data delay transmission. The simulation results show that the proposed pilot protection is not affected by system operating conditions, fault type, data delay transmission nor abnormal sampling data. The proposed pilot protection can still correctly identify the fault direction when the transition resistance reaches 150 Ω. It has strong noise immunity and is suitable for weakly-fed power systems with wind power access. |
Key words: wind farm pilot protection data delay abnormal sampling data BIRCH method |