Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuations Sources in Power Grids

TL;DR

This paper discusses a method for identifying and localizing voltage fluctuation sources in power grids using an enhanced empirical wavelet transform, highlighting challenges and potential causes of errors in the decomposition process.

Contribution

It introduces an approach utilizing EEWT for decomposition in voltage fluctuation source localization and analyzes its effectiveness with real grid data.

Findings

The approach can cause identification errors in real power grids.

Decomposition process issues contribute to localization mistakes.

Research highlights potential causes of errors in voltage fluctuation analysis.

Abstract

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.