A Novel Approach to Power Quality Analysis: Adaptive FEM Algorithm with Sparse Signal Decomposition,Advanced Theory and Simulations

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A Novel Approach to Power Quality Analysis: Adaptive FEM Algorithm with Sparse Signal Decomposition
Advanced Theory and Simulations ( IF 2.9 ) Pub Date : 2020-07-16 , DOI: 10.1002/adts.202000095
Rahul ₁

Affiliation

An adaptive approach of discretized triangular mesh based on finite element method hybrid with type‐2 fuzzy is utilized for detection and classification of power quality events. The concept of sparse signal decomposition is utilized with extraction of disturbances from power signals. An adaptive finite element method is then applied with the concept of stiffness matrix which extracts some relevant features of power quality events that act as input to type‐2 fuzzy classifiers. Finally performance comparison is carried out, the results of which show that the proposed technique has potential to analyze disturbances with high accuracy and minimum computational overhead.

中文翻译：

电能质量分析的一种新方法：具有稀疏信号分解的自适应有限元算法

基于有限元方法和2型模糊混合的离散三角网格自适应方法用于电能质量事件的检测和分类。稀疏信号分解的概念用于从功率信号中提取干扰。然后，将自适应有限元方法与刚度矩阵的概念一起应用，该方法提取出电能质量事件的某些相关特征，作为2型模糊分类器的输入。最后进行性能比较，结果表明所提出的技术具有以高精度和最小的计算开销分析干扰的潜力。

更新日期：2020-09-23

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