采用脉冲波近似分解法以支持电压波动源的进一步研究
Decomposition by Approximation with Pulse Waves Allowing Further Research on Sources of Voltage Fluctuations
AI总结：
针对电网电压波动源识别需求，提出脉冲波近似分解新方法，可准确识别波动源状态变化频率与电压变化幅度，经仿真和实验验证，其参数估计误差表现优于现有经验分解方法。
摘要：
电压波动是电网中常见的扰动问题。首先，需要选择性识别各个电压波动源，以便采取措施将电压波动的影响降至最低。通过使用由解调、分解以及分量信号传播评估组成的信号链，可以实现对扰动负载的选择性识别。这类方法的准确性与所采用的分解方法密切相关。本文提出了一种新的脉冲波近似分解方法。该方法能够正确识别选定参数，即各个电压波动源运行状态的变化频率，以及它们引起的电压变化幅度。本文展示了数值模拟研究和实验室实验研究的结果，基于这些结果，测定了所提出的分解方法与文献中已有的其他经验分解方法对上述参数的估计误差。研究中重现了电网中出现的真实工况。文中还讨论了数值模拟和实验研究所得结果的计量学解释。
英文摘要：
Voltage fluctuations are common disturbances in power grids. Initially, it is necessary to selectively identify individual sources of voltage fluctuations to take actions to minimize the effects of voltage fluctuations. Selective identification of disturbing loads is possible by using a signal chain consisting of demodulation, decomposition, and assessment of the propagation of component signals. The accuracy of such an approach is closely related to the applied decomposition method. The paper presents a new method for decomposition by approximation with pulse waves. The proposed method allows for an correct identification of selected parameters, that is, the frequency of changes in the operating state of individual sources of voltage fluctuations and the amplitude of voltage changes caused by them. The article presents results from numerical simulation studies and laboratory experimental studies, based on which the estimation errors of the indicated parameters were determined by the proposed decomposition method and other empirical decomposition methods available in the literature. The real states that occur in power grids were recreated in the research. The metrological interpretation of the results obtained from the numerical simulation and experimental research is discussed.
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