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.
翻译：电压波动是电网中常见的扰动,因此,为了尽量减少这种扰动,必须有效、有选择地查明个别电压波动源并确定其位置,因此,必须采用有效、有选择的过程来尽量减少这种扰动。通过使用区块级联,在查明和确定地方性令人不安的负荷过程中有可能有选择性:降压、分解和传播评估。这一方法的有效性与分解的所用方法密切相关。本文提出了选择性地查明和确定电压波动源的选定方法的分解过程的问题,其中采用增强的经验性波浪变算法作为分解方法。本文介绍了实际电网的选定研究结果,为此,选定方法的结果导致在查明和确定电压波动源的过程中出错。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。
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