Advanced Single-Stage on Grid Photovoltaic System for High-Efficiency DC Fast EV Charging Using SM-Sign NLMS Algorithm

High-power-density charging stations are required for fast charging of electric vehicles (EVs), but their high and quickly varying power need causes grid instability. This study suggests a unique way to facilitate rapid DC EV charging station while preserving grid voltage stability by integrating a photovoltaic (PV) system with grid using a voltage source converter (VSC). Because the system uses a single-stage PV-VSC design, where VSC handles maximum power point tracking (MPPT), it does not require an intermediary boost converter. The main innovation of this study is the application of set membership sign-normalized least mean square (SM-Sign NLMS) control algorithm, which, when compared to conventional dq-based control strategies, greatly enhances VSC performance in terms of quick convergence, fewer oscillations, and improved grid synchronization. A dual active bridge (DAB) converter for EV charger is also included in suggested system architecture, guaranteeing high power density needed for quick charging. Power distribution to EV battery is optimized by DAB converter, which runs under constant current (CC) and constant voltage (CV) management. MATLAB/Simulink simulation results confirm system reliability, efficiency, and capacity to supply power to grid, non-linear loads, and EV charger while reducing voltage variations. For contemporary EV charging infrastructure, this study demonstrates how SM-Sign NLMS improve grid-tied PV system's performance.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/ne-iecce64154.2025.11183461
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Advanced Single-Stage on Grid Photovoltaic System for High-Efficiency DC Fast EV Charging Using SM-Sign NLMS Algorithm

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1 citations
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article

Advanced Single-Stage on Grid Photovoltaic System for High-Efficiency DC Fast EV Charging Using SM-Sign NLMS Algorithm

Pavan Kumar Singh, Saurabh Mani Tripathi, Bhim Singh, Divyank Srivastava, Arunima Verma, Waqar Ali
article en
1 citations

Abstract

High-power-density charging stations are required for fast charging of electric vehicles (EVs), but their high and quickly varying power need causes grid instability. This study suggests a unique way to facilitate rapid DC EV charging station while preserving grid voltage stability by integrating a photovoltaic (PV) system with grid using a voltage source converter (VSC). Because the system uses a single-stage PV-VSC design, where VSC handles maximum power point tracking (MPPT), it does not require an intermediary boost converter. The main innovation of this study is the application of set membership sign-normalized least mean square (SM-Sign NLMS) control algorithm, which, when compared to conventional dq-based control strategies, greatly enhances VSC performance in terms of quick convergence, fewer oscillations, and improved grid synchronization. A dual active bridge (DAB) converter for EV charger is also included in suggested system architecture, guaranteeing high power density needed for quick charging. Power distribution to EV battery is optimized by DAB converter, which runs under constant current (CC) and constant voltage (CV) management. MATLAB/Simulink simulation results confirm system reliability, efficiency, and capacity to supply power to grid, non-linear loads, and EV charger while reducing voltage variations. For contemporary EV charging infrastructure, this study demonstrates how SM-Sign NLMS improve grid-tied PV system's performance.

University of Lucknow (IN), Jawaharlal Nehru Technological University Anantapur (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 26%
Power Systems and Renewable Energy
0.53
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