论文标题
在选择性识别和定位电压源的分解问题中，电网中的电压波动源
Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuations Sources in Power Grids
论文作者
论文摘要
电压波动是电网中的常见干扰，因此，对于最大程度地减少了这种干扰，必须有效且选择性的识别和定位过程。在识别和定位过程中的选择性可以通过使用层级别的级联：解调，分解和传播评估。这种方法的有效性与使用的分解方法密切相关。本文提出了选择性识别和定位电压波动源的分解过程的问题，其中增强的经验小波变换（EEWT）的算法用作分解方法。本文介绍了从实际功率电网中选出的研究结果，在该功能网格中，选定方法的结果在电压波动源的识别和定位过程中导致错误。根据获得的研究结果讨论了与分解过程有关的此类错误的潜在原因。
Voltage fluctuations are common disturbances in power grids, therefore the effective and selective process of identification and localization of individual voltage fluctuations sources is necessary for the minimization of such disturbances. Selectivity in the process of identification and localization disturbing loads is possible by the use cascade of blocks: demodulation, decomposition and propagation assessment. The effectiveness of this approach is closely related to the used method of decomposition. The paper presents the problem of decomposition process for the selected method of selective identification and localization of voltage fluctuation sources, in which the algorithm of enhanced empirical wavelet transform (EEWT) is used as the decomposition method. The paper presents selected research results from the real power grid, for which the result of selected approach causes mistakes in the process of identification and localization of voltage fluctuations sources. The potential causes of such mistakes related to the decomposition process are discussed on the basis of obtained research results.
