Fuel cell PV fed hybrid energy sources for 3 phase matrix converter using 3D Space Vector Modulation

The increasing global demand for clean and sustainable energy has driven the integration of renewable energy sources with advanced power electronic converters. This paper presents a novel hybrid energy system combining Proton Exchange Membrane Fuel Cell (PEMFC) and Photovoltaic (PV) sources to feed a three-phase matrix converter (MC), employing a 3D Space Vector Modulation (3D-SVM) strategy. The hybrid configuration ensures a stable and continuous power supply, overcoming the intermittency of solar energy and the slow dynamic response of fuel cells. The 3-phase matrix converter, recognized for its bidirectional power flow, compact structure, and high-quality output, is controlled using the 3D-SVM technique to achieve improved voltage transfer ratio, minimized Total Harmonic Distortion (THD), reduced Common Mode Voltage (CMV), less neutral current, and enhanced dynamic performance. The proposed modulation strategy optimally synthesizes switching state vectors in 3D-cubic region, ensuring effective real-time control and power management of the hybrid energy system. The simulation and hardware results of the proposed system validates the performance of 3-phase matrix converter with hybrid energy sources.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-25
DOI
https://doi.org/10.1038/s41598-026-35349-0
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fuel cell PV fed hybrid energy sources for 3 phase matrix converter using 3D Space Vector Modulation

It Ee Lee, Fayaz Hussain, Parvathy Rajendran, T. M. Thamizh Thentral et al.
Scientific Reports
Multilevel Inverters and Converters
article

Fuel cell PV fed hybrid energy sources for 3 phase matrix converter using 3D Space Vector Modulation

It Ee Lee, Fayaz Hussain, Parvathy Rajendran, T. M. Thamizh Thentral, C. Ahamed Saleel, A. Geetha, R. Palanisamy, S. Usha
article en

Abstract

The increasing global demand for clean and sustainable energy has driven the integration of renewable energy sources with advanced power electronic converters. This paper presents a novel hybrid energy system combining Proton Exchange Membrane Fuel Cell (PEMFC) and Photovoltaic (PV) sources to feed a three-phase matrix converter (MC), employing a 3D Space Vector Modulation (3D-SVM) strategy. The hybrid configuration ensures a stable and continuous power supply, overcoming the intermittency of solar energy and the slow dynamic response of fuel cells. The 3-phase matrix converter, recognized for its bidirectional power flow, compact structure, and high-quality output, is controlled using the 3D-SVM technique to achieve improved voltage transfer ratio, minimized Total Harmonic Distortion (THD), reduced Common Mode Voltage (CMV), less neutral current, and enhanced dynamic performance. The proposed modulation strategy optimally synthesizes switching state vectors in 3D-cubic region, ensuring effective real-time control and power management of the hybrid energy system. The simulation and hardware results of the proposed system validates the performance of 3-phase matrix converter with hybrid energy sources.

Scientific ReportsVol. 16(1)
Universiti Putra Malaysia (MY), SRM Institute of Science and Technology (IN), Multimedia University (MY), United Arab Emirates University (AE), King Khalid University (SA)
Multimedia University, King Khalid University
Affordable and clean energy
Openalex Percentile: Top 46%
Multilevel Inverters and Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.