Volume 21, Issue 4 (December 2025)                   IJEEE 2025, 21(4): 3499-3499 | Back to browse issues page

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Kollati S, Gudey S K. Advanced Maximum Power Point Tracking and DC-DC Converter Design for Enhanced Efficiency in Standalone PV Systems. IJEEE 2025; 21 (4) :3499-3499
URL: http://ijeee.iust.ac.ir/article-1-3499-en.html
Advanced Maximum Power Point Tracking and DC-DC Converter Design for Enhanced Efficiency in Standalone PV Systems
Sivaprasad Kollati , Satish Kumar Gudey
Abstract:   (178 Views)
To maximize the efficiency of solar energy conversion into electricity, photovoltaic (PV) system optimization is crucial. This is especially true for off-grid solar installations in remote areas lacking grid access. In order to maximize energy extraction from freestanding PV systems, regardless of fluctuating external conditions, this research provides a modified DC-DC converter and a novel Maximum Power Point Tracking (MPPT) technique. To ensure the photovoltaic (PV) system operates at full capacity despite rapid changes in weather conditions, the proposed solution utilizes the Modified Incremental Conductance MPPT algorithm that dynamically adjusts the system's operational parameters. Extensive simulations run in the MATLAB/Simulink platform confirm that the MPPT technique is efficient and effective. The proposed method outperforms traditional MPPT approaches in both convergence speed and output power stability. This research also develops a novel DC-DC converter to address the challenges given by the fluctuating solar irradiation. The modified DC-DC converter exhibits high gain and shorter settling time, and the improved MPPT method enhances the feasibility of deploying solar energy systems in off-grid and remote regions by enhancing the autonomy of standalone PV systems.
Keywords: MPPT, PV Systems, Solar Systems, MATLAB, Renewable Energy, Zeta converter
Full-Text [PDF 1060 kb]   (42 Downloads)    
Type of Study: Research Paper | Subject: Solar
Received: 2024/10/15 | Revised: 2025/07/14 | Accepted: 2025/05/31
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.