基于模糊贴近度的海上风电低频主变励磁涌流多判据识别

高淑萍; 武心宇; 惠阿丽; 权喆; 王晨清

doi:10.19912/j.0254-0096.tynxb.2024-1435

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (12) : 599-608. DOI: 10.19912/j.0254-0096.tynxb.2024-1435

基于模糊贴近度的海上风电低频主变励磁涌流多判据识别

高淑萍^1,2, 武心宇^1,2, 惠阿丽^1,2, 权喆^1,2, 王晨清^1,3

作者信息 +

MULTI-CRITERION IDENTIFICATION OF LOW-FREQUENCY MAIN TRANSFORMER INRUSH CURRENT OF OFFSHORE WIND POWER BASED ON FUZZY PROXIMITY DEGREE

Gao Shuping^1,2, Wu Xinyu^1,2, Xi Ali^1,2, Quan Zhe^1,2, Wang Chenqing^1,3

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文章历史 +

摘要

针对海上风电低频输电系统交流送出线路两端均为电力电子设备及其引发的电网故障电流畸变、导致保护适应性下降的问题,提出一种基于模糊贴进度的变压器励磁涌流多判据综合识别新方法。该方法综合了变压器励磁涌流多个特征,包括二次谐波、波形对称、波形正弦以及无功基波与有功直流之比等多个特征。通过采用不同的隶属度函数,并结合各判据的特点来计算不同权重,综合多个判据,利用贴近度函数计算综合模糊集合与预设的励磁涌流或内部故障标准模糊集合之间的相似程度。最后利用PSCAD搭建低频输电系统模型,并对低频变压器在不同工况下的运行状态进行模拟。利用Matlab对不同工况下产生的电流数据进行处理与分析,对所提识别方法进行验证。结果表明该方法能综合各判据优势,实现海上风电低频系统下励磁涌流与内部故障的精准可靠识别。

Abstract

Since both ends of the AC transmission and output lines of the low-frequency transmission system of offshore wind power are power electronic equipment, current distortion in the process of grid failure may cause the adaptability decline of the existing protection . To solve these problems, this paper proposes a new method of multi-criterion comprehensive identification of transformer excitation inrush current based on fuzzy progress. The method synthesizes several characteristics of transformer inrush current, including the second harmonic, waveform symmetry, waveform sine and the ratio of reactive fundamental wave to active DC. By using different membership functions and combining the characteristics of each criterion, different weights are calculated. By synthesizing multiple criteria, the similarity degree between the comprehensive fuzzy set and the preset inrush current or internal fault standard fuzzy set is calculated using the progress function. At last, PSCAD is used to build the low-frequency transmission system model, and the operation state of the low-frequency transformer under different working conditions is simulated. The current data generated under different working conditions are processed and analyzed by Matlab, and the proposed identification method is verified. The results show that this method can synthesize the advantages of each criterion and realize the accurate and reliable identification of inrush current and internal fault in low-frequency offshore wind power system.

导出引用

高淑萍, 武心宇, 惠阿丽, 权喆, 王晨清. 基于模糊贴近度的海上风电低频主变励磁涌流多判据识别[J]. 太阳能学报. 2025, 46(12): 599-608 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1435

Gao Shuping, Wu Xinyu, Xi Ali, Quan Zhe, Wang Chenqing. MULTI-CRITERION IDENTIFICATION OF LOW-FREQUENCY MAIN TRANSFORMER INRUSH CURRENT OF OFFSHORE WIND POWER BASED ON FUZZY PROXIMITY DEGREE[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 599-608 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1435

中图分类号： TM431

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