Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level

Chang Hua Lin; Hwa Dong Liu; Shiue Der Lu

doi:10.18494/SAM.2021.3226

Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level

Chang Hua Lin, Hwa Dong Liu, Shiue Der Lu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	2959-2969
Number of pages	11
Journal	Sensors and Materials
Volume	33
Issue number	8
DOIs	https://doi.org/10.18494/SAM.2021.3226
Publication status	Published - 2021
Externally published	Yes

Keywords

irradiance change per unit area threshold control
maximum power point tracking
solar power

ASJC Scopus subject areas

Materials Science(all)
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.18494/SAM.2021.3226

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title = "Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level",

abstract = "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.",

keywords = "irradiance change per unit area threshold control, maximum power point tracking, solar power",

author = "Lin, {Chang Hua} and Liu, {Hwa Dong} and Lu, {Shiue Der}",

note = "Funding Information: This work was supported by the Ministry of Science and Technology, Taiwan, under contract number MOST 108-2221-E-167-018-MY2 (duration: August 1, 2019–July 31, 2021). Publisher Copyright: {\textcopyright} 2021 M Y U Scientific Publishing Division. All rights reserved.",

year = "2021",

doi = "10.18494/SAM.2021.3226",

language = "English",

volume = "33",

pages = "2959--2969",

journal = "Sensors and Materials",

issn = "0914-4935",

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T1 - Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level

AU - Lin, Chang Hua

AU - Liu, Hwa Dong

AU - Lu, Shiue Der

N1 - Funding Information: This work was supported by the Ministry of Science and Technology, Taiwan, under contract number MOST 108-2221-E-167-018-MY2 (duration: August 1, 2019–July 31, 2021). Publisher Copyright: © 2021 M Y U Scientific Publishing Division. All rights reserved.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - irradiance change per unit area threshold control

KW - maximum power point tracking

KW - solar power

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JF - Sensors and Materials

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Novel Control Strategy to Improve Photovoltaic System Performance under Low Irradiance Level

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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