The paper presents an innovative approach to identifying voltage fluctuation sources in power networks, also considering the localization understood as the indication of supply points of disturbing loads. The presented approach considers disturbance sources that change their operating state with a frequency higher than the power frequency. The implementation of the proposed solution is also proposed in such a way that its implementation in the smart meter infrastructure allows automatic localization of disturbance sources without additional expert knowledge. In the proposed approach, the modulation signal is estimated using a carrier signal estimator, which allows the estimation of a modulation signal with a frequency higher than the power frequency. The estimated modulating signal is decomposed into component signals associated with individual disturbing loads by decomposition by approximation using pulse waves. The decomposition process allows for the estimation of selected parameters associated with disturbing loads, on the basis of which the assessment of propagation of voltage fluctuations associated with the impact of individual disturbance sources is performed, which allows for the indication of their supply point. The proposed approach was verified in numerical simulation studies using MATLAB/SIMULINK and in experimental studies carried out in a real low-voltage power grid.

翻译：本文提出了一种识别电力网络中电压波动源的创新方法，同时兼顾了扰动负荷供电点定位的指示功能。该方法考虑了运行状态变化频率高于工频的扰动源。本文还提出了该解决方案的实施方案，使其在智能电表基础设施中实现自动定位扰动源，无需额外专家知识。在所提方法中，通过载波信号估计器对调制信号进行估计，从而能够估计频率高于工频的调制信号。采用脉冲波逼近分解技术，将估计出的调制信号分解为与各扰动负荷相关的分量信号。该分解过程可估计与扰动负荷相关的选定参数，基于这些参数评估各扰动源影响下的电压波动传播特性，进而指示其供电点。通过MATLAB/SIMULINK数值仿真及实际低压电网实验研究验证了所提方法的有效性。