A Hybrid Marine Predator Sine Cosine Algorithm for Parameter Selection of Hybrid Active Power Filter

Shoyab Ali, Annapurna Bhargava, Akash Saxena () and Pavan Kumar
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Shoyab Ali: Department of Electrical Engineering, Rajasthan Technical University, Kota 324010, India
Annapurna Bhargava: Department of Electrical Engineering, Rajasthan Technical University, Kota 324010, India
Akash Saxena: School of Computing Science and Engineering, VIT Bhopal University, Kothrikalan, Sehore 466114, India

Mathematics, 2023, vol. 11, issue 3, 1-25

Abstract: Power quality issues are handled very well by filter technologies. In recent years, the advancement of hybrid active power filters (HAPF) has been enhanced due to ease of control and flexibility as compared to other filter technologies. These filters are a beneficial asset for a power producer that requires a smooth filtered output of power. However, the design of these filters is a daunting task to perform. Often, metaheuristic algorithms are employed for dealing with this nonlinear optimization problem. In this work, a new hybrid metaheuristic algorithm (Marine Predator Algorithm and Sine Cosine Algorithm) has been proposed for selecting the best parameters for HAPF. The comparison of different algorithms for obtaining the HAPF parameters is also performed to show case efficacy of the proposed hybrid algorithm. It can be concluded that the proposed algorithm produces robust results and can be a potential tool for estimating the HAPF parameters. The confirmation of the performance of the proposed algorithm is conducted with the results of fitness statistical results, boxplots, and different numerical analyses.

Keywords: hybrid active power filter (HAPF); Marine Predator Algorithm (MPA); Sine Cosine Algorithm (SCA); fish aggregating device (FAD) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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