使用有效解调与分解技术实现电网中扰动负荷识别的多点法
Multi-Point Method using Effective Demodulation and Decomposition Techniques allowing Identification of Disturbing Loads in Power Grids
AI总结：
提出一种基于解调与分解技术的多点法，通过估计高于电网频率的调制信号并分解为各扰动负荷分量，实现电网中电压波动源的自动定位，经仿真与实际低压电网实验验证有效。
摘要：
本文提出了一种识别电网中电压波动源的创新方法，同时考虑了定位问题，即指出扰动负荷的供电点。该方法考虑了工作状态变化频率高于电网频率的扰动源。所提方案的实施方式使其能够在智能电表基础设施中实现，从而无需额外专家知识即可自动定位扰动源。在所提方法中，使用载波信号估计器估计调制信号，从而能够估计频率高于电网频率的调制信号。通过使用脉冲波进行近似分解，将估计的调制信号分解为与各个扰动负荷相关的分量信号。分解过程允许估计与扰动负荷相关的选定参数，基于此评估与各个扰动源影响相关的电压波动传播，从而指出其供电点。所提方法在MATLAB/SIMULINK数值模拟研究和实际低压电网实验研究中得到了验证。
英文摘要：
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.
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