Vol 14 Issue 2 April 2026-June 2026

Abstract: The accelerating global transition toward decarbonized power systems demands high-voltage direct-current (HVDC) transmission and flexible alternating-current transmission system (FACTS) technologies with superior efficiency and power density. Silicon Carbide (SiC) Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) present transformative potential for these applications owing to their wide bandgap (3.26 eV), high critical electric field (2.5 MV/cm), and elevated thermal conductivity (4.9 W/cm·K). However, the dynamic switching behavior of SiC-MOSFETs within multi-level converter topologies under high-voltage operating conditions remains insufficiently characterized in existing literature. This paper presents a comprehensive analysis of the switching transient dynamics—including turn-on and turn-off mechanisms, dv/dt and di/dt profiles, Miller plateau effects, and reverse recovery phenomena—of SiC-MOSFETs operating in three-level Neutral-Point-Clamped (NPC), five-level Active NPC (ANPC), Flying Capacitor Multi-Level (FCML), and Modular Multilevel Converter (MMC) topologies. A systematic switching characterization methodology is proposed and validated through double-pulse test (DPT) simulations using calibrated manufacturer device models. Results demonstrate that SiC-based multi-level converters achieve switching loss reductions of 68–78% compared to Silicon Insulated-Gate Bipolar Transistor (Si-IGBT) counterparts, enable switching frequencies up to 100 kHz with converter efficiencies exceeding 99.1%, and produce output voltage total harmonic distortion (THD) below 2.1% at rated load. Thermal analysis confirms stable junction temperature operation within safe margins at ambient temperatures up to 55°C. The findings establish quantitative design guidelines for deploying SiC multi-level converters in next-generation smart grid infrastructure.

Keywords: Silicon Carbide (SiC), MOSFET, multi-level converter, switching losses, wide-bandgap semiconductors, HVDC, smart grid, Neutral-Point-Clamped (NPC), Modular Multilevel Converter (MMC), power electronics.

Title: Dynamic Switching Characteristics Analysis of Multi-Level SiC-MOSFET Converters for High-Voltage Smart Power Transmission Grids

Author: Latifa K. Aldabbous

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 15-36

Research Publish Journals

Website: www.researchpublish.com

Published Date: 08-May-2026

Abstract: However, there are still issues in terms of efficiency, material sustainability, and end-of-life management that need to be addressed. Solar photovoltaic (PV) technology is an essential component in the shift to renewable energy. This article investigates the development of coatings that improve panel efficiency, the utilization of environmentally friendly materials, and the implementation of recycling procedures for panels that have been decommissioned.  Coatings that are anti-reflective and self-cleaning have the potential to boost energy yield by as much as 5-10%, while environmentally friendly options like as recycled carbon fiber can lessen the impact on the environment.  It is possible to recover up to 95% of the materials used in panels through the implementation of waste management procedures, which include extended producer responsibility.  One way to encourage a circular economy in the solar energy sector is to integrate these ideas.

Keywords: Waste management, the circular economy, photovoltaics, solar panels, coatings, sustainable materials, and end-of-life recycling.

Title: Enhancing Solar Panel Efficiency with Coatings: Sustainable Materials and Waste Management for End-of-Life Panels

Author: Sneha, Lalit Kumar

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 10-14

Research Publish Journals

Website: www.researchpublish.com

Published Date: 28-April-2026

Abstract: This paper presents DM-VTON, a diffusion-model-based virtual try-on (VTON) system designed to generate high-quality, photo-realistic visualizations of clothing on human subjects. The system simulates how garments fit and drape on the human body under real-world conditions, accounting for diverse poses, lighting variations, and body shapes. It integrates advanced artificial intelligence techniques including diffusion models, IP-Adapters, DensePose, and semantic segmentation to achieve accurate and realistic garment rendering. The model was trained on benchmark datasets VITON-HD and DressCode, enabling robust handling of both paired and unpaired try-on scenarios. Key contributions include dense pose mapping, agnostic image generation, and a Gradio-based user interface supporting high-resolution inference at 1024×768 pixels. The modular and scalable architecture effectively tackles persistent challenges such as occlusion handling, body shape variation, and lighting inconsistency. This work advances the fields of virtual try-on, fashion synthesis, and AI-driven apparel visualization, with significant applicability to e-commerce, fashion design, and sustainable retail.

Keywords: Virtual Try-On, Diffusion Models, DensePose, IP-Adapters, Semantic Segmentation, Fashion Synthesis, E-Commerce, Sustainable Fashion, Agnostic Image Generation, Garment Rendering.

Title: AI-Powered Virtual Outfit Try-On System for Sustainable Fashion and Sizing Accuracy

Author: Nishchay Sinha, Pinank Trivedi, Yashraj Verma, Deepak S. Shete

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 1-9

Research Publish Journals

Website: www.researchpublish.com

Published Date: 09-April-2026