Evidence map›Paper›PMID 40467778›Full record

ArticleScientific reports2025

GRU controller-based UPQC compensator design for improving power quality in grid-integrated non-linear load system.

B Srikanth Goud, Ch Naga Sai Kalyan, Gundala Srinivasa Rao, Bhabasis Mohapatra, Narsimha Reddy Kuppireddy, Harish Pulluri, Ch Rami Reddy, Mohammad Shorfuzzaman, Basem Abu Zneid, Mukesh Pushkarna

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

B Srikanth GoudDepartment of Electrical and Electronics Engineering, School of Engineering, Anurag University, Hyderabad, 500088, India.
Ch Naga Sai KalyanDepartment of Electrical and Electronics Engineering, Vasireddy Venkatadri International Technological University (VVITU), Guntur, 522 508, India.
Gundala Srinivasa RaoDepartment of Electrical and Electronics Engineering, CMR College of Engineering & Technology, Hyderabad, India.
Bhabasis MohapatraDepartment of Electrical Engineering, ITER, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751030, Odisha, India. bhabasismohapatra@soa.ac.in.
Narsimha Reddy KuppireddyDepartment of Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Harish PulluriDepartment of Electrical and Electronics Engineering, School of Engineering, Anurag University, Hyderabad, 500088, India.
Ch Rami ReddyDepartment of Electrical and Electronics Engineering, Joginpally B R Engineering College, Hyderabad, 500075, India.
Mohammad ShorfuzzamanDepartment of Computer Science, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia.
Basem Abu ZneidRobotics and Artificial Intelligence Engineering Department, Faculty of Engineering, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
Mukesh PushkarnaDepartment of Electrical Engineering, GLA University Mathura, Mathura, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Power quality has prominently gained its importance in power systems with the advancement of technology. Voltage sags/swells, harmonics, and other disturbances are the major issues causing most of the technical and financial damages which are reducing the quality of energy supplied. To overcome these challenges design of a unified power quality conditioner (UPQC) plays a vital role in mitigating the PQ issues. In this paper, an advanced neural network base approach is developed to manage UPQC to maintain a constant power supply for the end users. DC link of UPQC is taken from PV, fuel, and battery at a specific range. The compensator DC link is linked in a smart grid with nonlinear load. On the other hand, the switching pulse was performed with the use of the Gated Recurrent Unit (GRU) controller technique. Various fault conditions are created to make a dataset that is utilized to design the GRU that analyses the load voltage and current at each second to generate a pulse for UPQC. The performance is evaluated utilizing an advanced controller under various conditions, including swell, sag, harmonics, and combined three-phase faults. The low harmonic content of voltage is 0.04%, 0.25%, and 0.98%. The suggested controller is accessible with 99.5% specificity, 99% sensitivity, and 98% accuracy. The proposed controller provides low harmonic content while operating in a highly secure, dependable, and efficient manner.

Indexed as

BatteryFuelGRUHarmonics reductionPower qualityPVUPQC

Identifiers

PMID40467778
PMCPMC12137626

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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.