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作 者:沈春城 严柏平 黄大卓 郑国超 冯浩文 林峻宁 陈聪 SHEN Chuncheng;YAN Baiping;HUANG Dazhuo;ZHENG Guochao;FENG Haowen;LIN Junning;CHEN Cong(School of Automation,Guangdong University of Technology,Guangzhou 510000;Zhongshan Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Zhongshan 528400)
机构地区:[1]广东工业大学自动化学院,广州510000 [2]广东电网有限责任公司中山供电局,中山528400
出 处:《电气工程学报》2024年第1期243-253,共11页Journal of Electrical Engineering
基 金:广东省自然科学基金(2018A030313010);广州市科技计划(202102021135)资助项目。
摘 要:针对电力变压器空载合闸于CT饱和、轻微匝间故障等扰动因素下励磁涌流快速识别困难的应用需求,提出一种基于电流波形复杂特性的励磁涌流快速识别算法;通过研究空载合闸、CT饱和、匝间故障等扰动因素下的励磁涌流波形复杂特性,提出采用改进变分模态分解算法,以实现固有模态分量的快速准确分解,同时,研究励磁涌流波形复杂特性的数值表征,提出波形复杂特性的数值表征策略,并选定样本熵和值作为励磁涌流快速识别的判据;模拟建立多场景扰动下的励磁涌流特性仿真模型,验证了所提出算法在空载合闸、合闸于CT饱和、合闸于匝间故障、变压器运行时发生内部及区内故障等工程场景下应用的快速性和可靠性。其中,该算法能够实现首个周波电流采集下的快速模态分解,并具有抗40 dB噪声干扰的抗噪性能,易于复杂扰动下励磁涌流信号快速、可靠辨识的工程应用。In order to solve application requirements for the rapid identification of inrush current in trans-formers no-load closing in CT saturation,minor inter-turn faults and other disturbing factors,a rapid identification algorithm is proposed that leveragres the complex characteristics of the current waveform.By studying the complex characteristics of the excitation inrush waveform under the disturbance factors such as no-load closing,CT saturation and inter-turn fault,an improved variational modal decomposition algorithm is introduced to achieve fast and accurate decomposition of the intrinsic modal function.Meanwhile,the numerical characterization of the complex characteristics of the inrush current waveform is studied,the numerical characterization strategy of the complex characteristics of the waveform is proposed,and the sample entropy sum value is selected as a criterion for the rapid identification of the inrush current.The inrush simulation model under multi-scenario disturbances is established to verify the rapidity and reliability of the proposed algorithm for application under engineering scenarios such as no-load closing,closing on CT saturation,closing on turn-to-turn faults,internal and external faults during operation.Notably,the results show that the algorithm is able to achieve fast mode decomposition under the first circumferential current acquisition,and has 40 dB noise immunity,which is easy for engineering applications of fast and reliable identification of inrush current signals under complex disturbances.
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