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风电变流技术
★ 5.0
变压器短路耐受能力的理论评估及绕组累积变形识别方法
Theoretical Evaluation of Transformer Short-Circuit Withstand Capability and Identification Method of Winding Cumulative Deformation
| 作者 | Jun Liu · She Chen · Feng Wang · Dengfeng Zhu · Kui Xu · Peilong Chen |
| 期刊 | IEEE Transactions on Power Delivery |
| 出版日期 | 2025年6月 |
| 技术分类 | 风电变流技术 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 电力变压器 短路冲击 累积效应 评估方法 绕组状态识别 |
语言:
中文摘要
随着电力系统容量增大,电力变压器常承受多次不同强度的短路冲击,现有评估方法难以准确预测其累积效应,影响运维决策。本文构建双柱三绕组模型变压器,采用WELDINST软件及中日变压器技术委员会推荐方法进行短路耐受能力理论评估,并开展不同电流比的短路冲击实验,研究径向与轴向失稳下的累积效应。结果表明,不同方法在不同失稳模式下预测精度差异显著,中国技术委员会方法在轴向失稳下表现更优,WELDINST在径向失稳下更佳,实验平均偏差分别为19.75%和8.92%。当电流比超过70%时,累积效应显著。建立了阻抗累积效应与电流比之间的指数函数关系。通过稳态振动主基频比与振动熵可实时识别绕组状态,二者与绕组阻抗变化相关:阻抗变化越大,主基频比越低,振动熵越高。
English Abstract
As power system capacity increases, power transformers frequently endure multiple short-circuit impulses of varying intensities. Existing evaluation methods cannot accurately predict their cumulative effects, which hinders effective operation and maintenance. In this study, a double-leg, three-winding mock-up transformer has been built up. Theoretical short-circuit withstand capability is evaluated using WELDINST software and methods recommended by Chinese and Japanese transformers technical committee. Short-circuit impulse experiments with varying current ratios are performed to investigate cumulative effects under radial and axial instability. The results show that the prediction accuracy varies across different methods and instability modes. The Chinese transformer technical committee recommended method performs better under axial instability, while the WELDINST method excels excellent under radial instability. The experimental results showing average deviations of 19.75% and 8.92%, respectively. The experiment show that significant cumulative effects appear when the current ratio exceeds 70%. Furthermore, an exponential function was established between impedance cumulative effects and current ratios. Finally, the steady-state vibration main fundamental ratio and vibration entropy, enable real-time identification of the winding state, showing a relationship with changes in winding impedance. Larger impedance variations are associated with lower steady-state vibration main fundamental ratio and higher vibration entropies.
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SunView 深度解读
该研究对阳光电源的大功率变压器应用具有重要参考价值。研究成果可应用于ST系列储能变流器和SG系列光伏逆变器的变压器设计与运维。通过短路耐受能力评估方法和累积变形识别技术,可提升产品的以下方面:1)优化变压器设计裕度,提高产品可靠性;2)通过振动特征实时监测变压器健康状态,完善iSolarCloud平台的预测性维护功能;3)建立电流比与阻抗变化的定量关系,为产品过载保护策略提供依据。这对提升阳光电源大功率产品的可靠性和智能运维能力具有积极意义。