A Hierarchical Teaching-Learning-Based Optimization Algorithm for Optimal Design of Hybrid Active Power Filter

Cui, Zhiling; Li, Chunquan; Dai, Wanxuan; Zhang, Leyingyue; Wu, Yufan

doi:10.1109/access.2020.2995716

Cited by 10 publications

(3 citation statements)

References 38 publications

(49 reference statements)

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“…Analog filter design was performed in reference [2]; this paper investigated the efficacy of metaheuristics for designing the analog filter circuit. A promising study with the Hierarchical Teaching Learning Based Optimization was conducted in reference [3]. Biswas et al in [4] applied Differential Evolution and its advanced version L-SHADE.…”

Section: Application Of Optimization Algorithms For Designing Filtersmentioning

confidence: 99%

An Amended Crow Search Algorithm for Hybrid Active Power Filter Design

Ali,

Bhargava,

Saxena

et al. 2023

Processes

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Hybrid Active Power Filter (HAPF) imbibes the advantages of both passive and active power filters. These filters are considered one of the important technologies for mitigating harmonic pollution in electrical systems. Accurate estimation of filter parameters is a key component to reduce harmonic pollution effectively. In recent years, several optimization approaches have been reported to solve this estimation problem; still, this area is worthy of further investigation. This paper is a proposal for an estimator that can estimate the parameter of HAPF configuration accurately. For evolving this estimator, first, an objective function that mathematically embeds filter parameters and harmonic pollution is presented. For handling the optimization process, an Amended Crow Search Algorithm (ACSA) is proposed. ACSA employs a local search algorithm (in the form of a pattern search) for obtaining optimal results. The analysis of the estimation process is carried out on two HAPF configurations. Various analyses that include harmonic pollution statistical analysis along with fitness function value analysis reveal that the proposed algorithm acquires optimal results as compared with other recently published and reported algorithms. Further, the proposed filter configurations are tested with the existing filter. The results prove that the proposed filter shows promising results.

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Section: Application Of Optimization Algorithms For Designing Filtersmentioning

confidence: 99%

An Amended Crow Search Algorithm for Hybrid Active Power Filter Design

Ali,

Bhargava,

Saxena

et al. 2023

Processes

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show abstract

“…Some students feel easy, while others feel it difficult. Therefore, it is very necessary to arrange assignment in different levels [8][9] . The term project content is designed in layers for students with different learning abilities, so that students at different levels can choose the assignment content suitable for their own difficulty.…”

Section: The Difference Of Content Depth Is Beneficial To Improve The...mentioning

confidence: 99%

Practice Exploration of Term Project Teaching Method for Electric Elements of Power Plant Course

2022

CURTM

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On the basis of analyzing the deficiency of the traditional assignment, the term project driven teaching method is proposed for electric elements of power plant. The differences in the content and depth of term project can be tailored to students at different levels. It is good for effectively promoting students to complete their assignments independently, exercising their comprehensive application design ability, and improving the learning effect. Taking the course of electric elements of power plant as an example, the term project research content and specific implementation steps is designed. Through the implementation of the term project, the advantages of the term project driven teaching method and its influence on the subsequent courses and practice of the major are analyzed.

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“…Consequently, Biswas et al [15] proposed an algorithm based on differential evolution (DE) to optimize the parameters of HAPF design. In the reference [16], total voltage harmonic distortion and current harmonic distortion have been incorporated in a composite objective function with the aim to minimize total harmonic pollution. From the literature, it is concluded that the filter design problem is a complex problem.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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A Hierarchical Teaching-Learning-Based Optimization Algorithm for Optimal Design of Hybrid Active Power Filter

Cited by 10 publications

References 38 publications

An Amended Crow Search Algorithm for Hybrid Active Power Filter Design

An Amended Crow Search Algorithm for Hybrid Active Power Filter Design

Practice Exploration of Term Project Teaching Method for Electric Elements of Power Plant Course

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

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