An efficient harmonic estimator design based on Augmented Crow Search Algorithm in noisy environment

作者：

Highlights：

• Harmonic estimation problem is addressed.

• Augmented Crow Search Algorithm (ACSA) is proposed.

• An acceleration factor and opposition based learning is applied.

• Four test benches are constructed for performance evaluation.

• Comparison between different bioinspired algorithm with ACSA is reported.

摘要

•Harmonic estimation problem is addressed.•Augmented Crow Search Algorithm (ACSA) is proposed.•An acceleration factor and opposition based learning is applied.•Four test benches are constructed for performance evaluation.•Comparison between different bioinspired algorithm with ACSA is reported.

论文关键词：Harmonic estimation,Crow search algorithm,Power quality issues

论文评审过程：Received 22 December 2020, Revised 16 December 2021, Accepted 25 December 2021, Available online 15 January 2022, Version of Record 29 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116470