A High-Performance Fuzzy Logic MPPT for Solar PV-Powered Green Hydrogen Systems
太陽光発電によるグリーン水素システム向け高性能ファジィロジックMPPT (AI 翻訳)
Raj Kapur Kumar, Paulson Samuel, Biranchi Narayan Kar, A. Naik, Raghvendra Tiwari
🤖 gxceed AI 要約
日本語
太陽光発電の変動性に対する解決策としてグリーン水素が注目されている。本研究では、PEM電解槽システム向けにファジィロジックベースのMPPT手法を提案し、従来のP&O法と比較して追従速度と効率が向上することをシミュレーションで確認した。
English
This paper proposes a fuzzy logic-based MPPT method for solar PV-powered PEM electrolyzer systems for green hydrogen production. Compared to the conventional Perturb and Observe algorithm, the fuzzy logic controller achieves faster tracking (5 ms vs 20 ms) and higher efficiency under varying irradiance, enhancing green hydrogen production viability.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文は、グリーン水素の効率的な生産に寄与する技術的成果である。日本でも水素社会の実現に向けて、再生可能エネルギー由来の水素製造技術の高度化が求められており、本手法はその一助となり得る。
In the global GX context
This paper presents an engineering advance that directly addresses the efficiency of green hydrogen production from solar PV, a key component of global decarbonization strategies. While not directly about disclosure, it supports the technical feasibility of renewable hydrogen, relevant for transition finance and clean energy portfolios.
👥 読者別の含意
🔬研究者:This paper provides a new MPPT method with faster convergence, useful for researchers in renewable energy systems and hydrogen production.
🏢実務担当者:Practitioners in solar-hydrogen systems can consider this fuzzy logic controller for improved system performance.
📄 Abstract（原文）
The global demand for electrical energy continues to rise with increasing population and industrial growth. This growing need accelerates the depletion of fossil fuel reserves and worsens environmental issues linked to their use. Consequently, there is a strong global movement toward adopting renewable energy sources. Among these, solar photovoltaic (PV) systems are promising but face the challenge of intermittency, which makes energy storage essential. Hydrogen storage has emerged as an effective solution to this issue. When hydrogen is generated through the electrolysis of water powered by solar PV, it is known as green hydrogen. To optimize energy extraction from PV systems, researchers have introduced several Maximum Power Point Tracking (MPPT) techniques. However, conventional MPPT methods often suffer from power oscillations near the maximum power point and slow convergence times. This study introduces a fuzzy logic-based MPPT approach specifically developed for a solar PV-driven proton exchange membrane (PEM) electrolyzer system. Compared with the commonly used Perturb and Observe (P&O) algorithm, the proposed fuzzy logic method enhances both tracking efficiency and response speed. Simulation results demonstrate that the fuzzy logic controller achieves faster and more accurate power tracking, even under rapidly changing irradiance conditions. While the $\mathrm{P} \& \mathrm{O}$ method typically reaches the maximum power point (MPP) in about 20 ms, the fuzzy logic controller achieves it within 5 ms. Overall, the findings confirm that the fuzzy logic-based MPPT provides superior performance, enabling improved power extraction and stable operation of the PEM electrolyzer system.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/odicon66687.2026.11470904first seen 2026-05-15 19:23:36
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