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首页> 外文期刊>Electric power systems research >Novel power quality indices based on wavelet packet transform for non-stationary sinusoidal and non-sinusoidal disturbances
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Novel power quality indices based on wavelet packet transform for non-stationary sinusoidal and non-sinusoidal disturbances

机译：基于小波包变换的非平稳正弦和非正弦扰动的新型电能质量指标

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摘要

High power quality (PQ) level represents one of the main objectives towards smart grid. The currently used PQIs that are a measure of the Pqlevel are defined under the umbrella of the Fourier foundation that produces unrealistic results in case of non-stationary PQ disturbances. In order to accurately measure those indices, wavelet packet transform (WPT) is used in this paper to reformulate the recommended PQIs and hence benefiting from the WPT capabilities in accurately analyzing non-stationary waveforms and providing a uniform time-frequency sub-bands leading to reduced size of the data to be processed which is a necessity to facilitate the implementation of smart grid. Numerical examples' results considering non-stationary waveforms prove the suitability of the WPT for PQIs measurement; also the results indicate that Daubechies 10 could be the best candidate wavelet basis function that could provide acceptable accuracy while requiring less number of wavelet coefficients and hence reducing the data size. Moreover, a new time-frequency overall and node crest factors are introduced in this paper. The new node crest factor is able to determine the node or the sub-band that is responsible for the largest impact which could not be achieved using traditional approaches.
机译：高电能质量（PQ）级别代表了智能电网的主要目标之一。在傅立叶基础的保护下定义了当前使用的PQI，这些PQI是Pq级别的度量，在非平稳PQ干扰的情况下产生不切实际的结果。为了准确地测量那些指标，本文使用小波包变换（WPT）重新制定了推荐的PQI，因此受益于WPT的能力，可以准确地分析非平稳波形并提供统一的时频子带，从而减少要处理的数据的大小，这是促进智能电网实施的必要条件。数值示例考虑了非平稳波形的结果证明了WPT适用于PQI测量。结果还表明，Daubechies 10可能是最佳候选小波基函数，可以提供可接受的精度，同时需要较少数量的小波系数，从而减小数据大小。此外，本文介绍了一种新的时频整体和节点波峰因数。新的节点波峰因数能够确定导致使用传统方法无法实现的最大影响的节点或子带。

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