Evidence map›Paper›PMID 41028106›Full record

ArticleScientific reports2025

Predictive riccati control for enhancing power quality using extended pq theory in wind energy-based conversion systems.

K Thirupura Sundari, M G Umamaheswari

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

K Thirupura SundariDepartment of Electronics and Instrumentation Engineering, Sri Sai Ram Engineering College, Chennai, India. thirupurasundari.ei@sairam.edu.in.
M G UmamaheswariDepartment of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper represents novel single-stage modular 3-phase PFC (Power Factor Correction) converter featuring Riccati predictive current controllers for a WECS (Wind Energy Conversion System), improving efficiency moreover mitigating toxic emissions. On an average, a 1 MW wind turbine prevents approximately 2000 to 2500 tons of carbon emissions per year, which is equivalent to the carbon emissions produced by more than 300 vehicles. The proposed work implements a practical DC-DC Second Degree Boost Converter (SDBC) for PFC in WECS and adopts pq theory to effectively manage power quality issues such as THD (Total Harmonic Distortion), voltage unbalance, enhance the power factor and ensure efficient energy usage. An equivalent circuit for the non-ideal SDBC is constructed, and its small-signal model is obtained followed by cascade control of voltage and current loops. The suggested Riccati Predictive Control approach ensures that the supply currents remain sinusoidal with a near unity PF (Power Factor) of 0.998 along with low THD of 1.24% for servo and regulatory applications. MATLAB/Simulink has been utilized in simulating proposed system, with reference currents produced in conditions of balanced supply voltage using pq theory. Efficient operation of the SDBC has been validated under MOSFET fault conditions using a DSPIC30F2010 controller for a 300 W prototype. The findings support the reliability of the proposed technique, demonstrating improved performance in terms of power quality indices like % THD of 1.24, PF of 0.998 and also with an efficiency of above 96% and a settling time of nearly 1 s.

Indexed as

DC-DC SDBCPower factor correctionpq theoryPredictive controllerRenewable energyTotal harmonic distortion

Identifiers

PMID41028106
PMCPMC12485195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.