LAPSE:2023.1488
Published Article

LAPSE:2023.1488
A Novel SLOPDM Solar Maximum Power Point Tracking Control Strategy for the Solar Photovoltaic Power System
February 21, 2023
Abstract
This study proposes a novel maximum power point tracking (MPPT) control strategy for the solar photovoltaic power system (SPPS). The proposed system adopts two solar photovoltaic modules of 430 W, which are connected to a boost converter and an MPPT controller, since the traditional MPPT algorithm (such as perturbation and observation [P&O] algorithm) can hardly reach maximum power point (MPP) under low irradiance level and partial shading conditions (PSC), which leads to the low efficiency of the SPPS. The speed of light optical path difference measurement (SLOPDM) MPPT control strategy has been developed in this study to overcome this problem. The estimation of the optical path angle difference is used as the basis for the proposed control strategy. This is done by determining the relationship between the optical path angle difference, solar photovoltaic power impedance Rspv and load Ro, and then calculating the duty cycle corresponding to the MPP, which then drives the boost converter to capture the MPP. The experimental results verify the proposed system, which shows the efficiency comparison between the SLOPDM MPPT algorithm, solar angle and horizon (SAH) algorithm, and P&O algorithm under PSC and uniform irradiance conditions (UIC) at irradiance levels of 700 W/m2 and 65 W/m2. It is evident from the comparison that the efficiency of the SLOPDM MPPT algorithm is 99% under both conditions, which is higher than the SAH and P&O algorithms. The SLOPDM MPPT algorithm can precisely, rapidly, and stably be operated at MPP. The contribution of this study is that the proposed MPPT control strategy can help achieve the high−performance of SPPS without changing the hardware circuit design and requiring any additional solar power meter. This reduces the cost and the complexity of the system significantly.
This study proposes a novel maximum power point tracking (MPPT) control strategy for the solar photovoltaic power system (SPPS). The proposed system adopts two solar photovoltaic modules of 430 W, which are connected to a boost converter and an MPPT controller, since the traditional MPPT algorithm (such as perturbation and observation [P&O] algorithm) can hardly reach maximum power point (MPP) under low irradiance level and partial shading conditions (PSC), which leads to the low efficiency of the SPPS. The speed of light optical path difference measurement (SLOPDM) MPPT control strategy has been developed in this study to overcome this problem. The estimation of the optical path angle difference is used as the basis for the proposed control strategy. This is done by determining the relationship between the optical path angle difference, solar photovoltaic power impedance Rspv and load Ro, and then calculating the duty cycle corresponding to the MPP, which then drives the boost converter to capture the MPP. The experimental results verify the proposed system, which shows the efficiency comparison between the SLOPDM MPPT algorithm, solar angle and horizon (SAH) algorithm, and P&O algorithm under PSC and uniform irradiance conditions (UIC) at irradiance levels of 700 W/m2 and 65 W/m2. It is evident from the comparison that the efficiency of the SLOPDM MPPT algorithm is 99% under both conditions, which is higher than the SAH and P&O algorithms. The SLOPDM MPPT algorithm can precisely, rapidly, and stably be operated at MPP. The contribution of this study is that the proposed MPPT control strategy can help achieve the high−performance of SPPS without changing the hardware circuit design and requiring any additional solar power meter. This reduces the cost and the complexity of the system significantly.
Record ID
Keywords
boost converter, maximum power point tracking, partial shading condition, perturbation and observation, solar angle and horizon, solar photovoltaic module, solar photovoltaic power system, speed of light optical path difference measurement
Subject
Suggested Citation
Liu HD, Farooqui SA, Lu SD, Lee YL, Lin CH. A Novel SLOPDM Solar Maximum Power Point Tracking Control Strategy for the Solar Photovoltaic Power System. (2023). LAPSE:2023.1488
Author Affiliations
Liu HD: Undergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei 106, Taiwan
Farooqui SA: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Lu SD: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan [ORCID]
Lee YL: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Lin CH: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Farooqui SA: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Lu SD: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan [ORCID]
Lee YL: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Lin CH: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan [ORCID]
Journal Name
Processes
Volume
10
Issue
8
First Page
1452
Year
2022
Publication Date
2022-07-25
ISSN
2227-9717
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Original Submission
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PII: pr10081452, Publication Type: Journal Article
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LAPSE:2023.1488
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https://doi.org/10.3390/pr10081452
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Feb 21, 2023
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