Evidence map›Paper›PMID 38396163›Full record

ArticleScientific reports2024

Development of renewable energy fed three-level hybrid active filter for EV charging station load using Jaya grey wolf optimization.

Koganti Srilakshmi, D Teja Santosh, Alapati Ramadevi, Praveen Kumar Balachandran, Ganesh Prasad Reddy, Aravindhababu Palanivelu, Ilhami Colak, C Dhanamjayulu, Ravi Kumar Chinthaginjala, Baseem Khan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Koganti SrilakshmiDepartment of Electrical and Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, TS, 501301, India.
D Teja SantoshCVR College of Engineering/Computer Science and Engineering, Hyderabad, India.
Alapati RamadeviDepartment of Electrical and Electronic Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Kanuru, Vijayawada, Andhra Pradesh, India.
Praveen Kumar BalachandranDepartment of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad, TS, 501218, India.
Ganesh Prasad ReddyDepartment of Electrical and Electronics Engineering, AM Reddy Memeorial College of Engineering, Guntur, AP, India.
Aravindhababu PalaniveluDepartment of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu, India.
Ilhami ColakDepartment of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, Nisantasi University, 34398, Istanbul, Turkey.
C DhanamjayuluSchool of Electrical Engineering, Vellore Institute of Technology, Vellore, India. dhanamjayulu.c@vit.ac.in.
Ravi Kumar ChinthaginjalaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Baseem KhanDepartment of Electrical and Computer Engineering, Hawassa University, P.O. Box 05, Hawassa, Ethiopia. baseemkh@hu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work develops a hybrid active power filter (HAPF) in this article to operate in conjunction with the energy storage system (ESS), wind power generation system (WPGS), and solar energy system (SES). It employs three level shunt voltage source converters (VSC) connected to the DC-bus. Optimization of the gain values of the fractional-order proportional integral derivative controller (FOPIDC) and parameter values of the HAPF is achieved using the Jaya grey wolf hybrid algorithm (GWJA). The primary objectives of this study, aimed at enhancing power quality (PQ), include: (1) ensuring swift stabilization of DC link capacitor voltage (DCLCV); (2) reducing harmonics and improving power factor (PF); (3) maintaining satisfactory performance under different combinations of loads like EV charging load, non linear load and solar irradiation conditions. The proposed controller's performance is evaluated through three test scenarios featuring different load configurations and irradiation levels. Additionally, the HAPF is subjected to design using other optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) to assess their respective contributions to PQ improvement.

Indexed as

Fractional order proportional integral controllerHarmonic distortionHybrid power filter

Identifiers

PMID38396163
PMCPMC11310476

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.