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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 33, Number 8(4) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2959-2969
S&M2667 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3226 Published in advance: June 11, 2021 Published: August 31, 2021 Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level [PDF] Chang-Hua Lin, Hwa-Dong Liu, and Shiue-Der Lu (Received December 17, 2020; Accepted June 8, 2021) Keywords: maximum power point tracking, solar power, irradiance change per unit area threshold control
A novel algorithm for maximum power point tracking (MPPT) in solar power generation systems was proposed and compared with the conventional methods of hill climbing (HC) and perturbation and observation (P&O) algorithms. The two conventional algorithms are prone to divergence under low irradiance levels (<150 W/m2), resulting in difficulties in MPPT. The MPPT technique proposed in this study integrates irradiance change per unit area threshold control (ICPUATC) into the P&O algorithm. The proposed algorithm can facilitate quick and precise convergence at the maximum power point (MPP) for a photovoltaic module under a low irradiance level of 65 W/m2. The proposed and HC algorithms were compared for irradiance levels of 480, 140, and 65 W/m2, and the proposed algorithm consistently yielded better results than did the HC algorithm.
Corresponding author: Shiue-Der Lu  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chang-Hua Lin, Hwa-Dong Liu, and Shiue-Der Lu, Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level, Sens. Mater., Vol. 33, No. 8, 2021, p. 2959-2969. |
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- Implementation of Deep-Neural-Network–based Unmanned Aerial Vehicle Platform for Fire Smoke Response: Wildfire Smoke Description Experiments
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi - User-centric Real-time System for Building Disaster Alerts
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi
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Chengcheng Li, Ming Dong, Hongli Li, Xunwen Yu, Yongxuan Liu, and Chong Zhang - Surface Albedo in Different Land Cover Types in Northeast China
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Cheng-Tao Tsai and Jia-Wei Lin
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