| 引用本文: | 李振兴,杨 桄,王 莉,等.基于多模态分解信息的新能源场站送出线路纵联保护新判据[J].电力系统保护与控制,2026,54(03):22-34.[点击复制] |
| LI Zhenxing,YANG Guang,WANG Li,et al.A new pilot protection criterion for renewable energy outgoing lines based on multimodal decomposition information[J].Power System Protection and Control,2026,54(03):22-34[点击复制] |
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| 摘要: |
| 针对新能源场站送出线路故障时因短路电流受限及频率偏移导致的传统保护性能下降问题，提出一种新型纵联保护判据，该判据基于经验模态分解(empirical mode decomposition, EMD)提取本征模态函数分量(intrinsic mode functions, IMF)，并利用Kendall相关系数进行故障识别。首先分析了传统纵联保护与现有相似度算法的适用性。在此基础上，对线路两端故障电流进行经验模态分解，并利用Kendall相关系数分析其分解信息的相似度，以揭示其中蕴含的故障特征。其次，深入分析区内外故障时各阶IMF分量Kendall系数的差异，据此评估不同分量的故障表征能力。最终，通过赋予各分量差异化权重，构建一个融合电流幅值、相位及极性特征的综合相似度保护判据。仿真结果表明，该方法能够不受新能源故障电流特性的影响，正确判别新能源场站多种故障场景下区内外短路故障，具有动作时间短、准确性高、适应性强的优势。 |
| 关键词: 新能源场站 送出线路 经验模态分解 Kendall相关系数 综合相似度值 纵联保护 |
| DOI：10.19783/j.cnki.pspc.250636 |
| 投稿时间：2025-06-11修订日期：2025-08-30 |
| 基金项目:国家自然科学基金项目资助(52077120) |
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| A new pilot protection criterion for renewable energy outgoing lines based on multimodal decomposition information |
| LI Zhenxing1,2,YANG Guang2,WANG Li3,HU Cong2,WENG Hanli1,2,LI Peiyang2 |
| (1. Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University,
Yichang 443002, China; 2. College of Electrical Engineering and New Energy, China Three Gorges University,
Yichang 443002, China; 3. Technical College of State Grid Corporation of China, Jinan 250002, China) |
| Abstract: |
| To address the issue of performance degradation in traditional protection during faults on outgoing transmission lines from renewable energy plants caused by limited short-circuit current and frequency deviation, a new pilot protection criterion is proposed. The criterion is based on empirical mode decomposition (EMD) to extract multimodal components, i.e., intrinsic mode functions (IMFs), and employs the Kendall’s correlation coefficient for fault identification. First, the limitations of traditional protection and existing similarity algorithms are analyzed. On this basis, fault currents from line terminals are decomposed via EMD, and the similarity of the components is analyzed by using the Kendall coefficients to reveal fault characteristics. The differences in Kendall coefficients among IMFs of different orders during internal and external faults are examined to assess their fault representation capability. Finally, a comprehensive similarity-based protection criterion integrating current amplitude, phase, and polarity features is developed by adaptively weighting IMFs. Simulation results show that the proposed method is immune to the specific fault current characteristics of renewable energy sources and can accurately discriminate between internal and external short-circuit faults under various fault scenarios in renewable energy plants, featuring fast operation, high accuracy, and strong adaptability. |
| Key words: renewable energy plant transmission line empirical mode decomposition Kendall correlation coefficient comprehensive similarity index pilot protection |
