Nowadays, increasing nonlinear loads as well as distributed generation (DG) sources, which are some of these types, not only cause a wide range of voltage fluctuations, but also make it difficult to control the DG sources to produce proper output. Hence, it is necessary to use an approach that evaluates and tracks the voltage fluctuations, and also to have an output with optimal accuracy and smoothness that is suitable for control of DG sources. This paper presents a Teager energy operator (TEO)‐based approach to track and detect the voltage fluctuations in distribution networks in the presence of the inverter‐based DG and nonlinear load that eliminates as much as possible distortion and unwanted signals from the voltage flicker signal. This hybrid algorithm is able to track accurate the amplitude variations of voltage disturbances in industrial systems. To attain this aim, a suitable combination of the TEO and a relevant filter set is adopted. Simulations for a mathematical fluctuation waveform and the grid‐connected inverter‐based DG using the proposed method are conducted and results are compared with each other to evaluate their performance. Simulation results for different voltage fluctuations validate that the new approach is accurate and smooth in tracking the voltage fluctuations.

中文翻译：

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使用Teager能源运营商在线跟踪基于逆变器的分布式发电的电压闪变

如今，增加的非线性负载以及分布式发电（DG）源（这些类型中的一些）不仅会引起广泛的电压波动，而且使控制DG源以产生适当的输出变得困难。因此，有必要使用一种评估和跟踪电压波动的方法，并且必须具有适合于DG源控制的具有最佳精度和平滑度的输出。本文介绍了一种基于Teager能源运营商（TEO）的方法，用于在存在基于逆变器的DG和非线性负载的情况下跟踪和检测配电网络中的电压波动，该方法可以消除电压闪烁信号中的尽可能多的失真和有害信号。这种混合算法能够精确跟踪工业系统中电压干扰的幅度变化。为了达到这个目的，采用了TEO和相关的滤波器组的适当组合。使用所提出的方法对数学波动波形和并网逆变器的DG进行了仿真，并将结果相互比较以评估其性能。针对不同电压波动的仿真结果验证了该新方法在跟踪电压波动方面是准确且平稳的。使用所提出的方法对数学波动波形和并网逆变器的DG进行了仿真，并将结果相互比较以评估其性能。针对不同电压波动的仿真结果验证了该新方法在跟踪电压波动方面是准确且平稳的。使用所提出的方法对数学波动波形和并网逆变器的DG进行了仿真，并将结果相互比较以评估其性能。针对不同电压波动的仿真结果验证了该新方法在跟踪电压波动方面是准确且平稳的。