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Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions / YIDONG WANG

Swansea University Author: YIDONG WANG

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DOI (Published version): 10.23889/SUthesis.63858

Abstract

In this thesis, a novel photovoltaic (PV) emulator and the state-of-art learning–based real-time hybrid maximum power point tracking (MPPT) algorithms have been presented. Real-time research on PV systems is a challenging task because it requires a precise PV emulator that can faithfully reproduce t...

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Published: Swansea, Wales, UK 2023
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Zhou, Zhongfu
URI: https://cronfa.swan.ac.uk/Record/cronfa63858
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spelling v2 63858 2023-07-11 Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions 639b76dd8b712c6429f715a5b528abb4 YIDONG WANG YIDONG WANG true false 2023-07-11 In this thesis, a novel photovoltaic (PV) emulator and the state-of-art learning–based real-time hybrid maximum power point tracking (MPPT) algorithms have been presented. Real-time research on PV systems is a challenging task because it requires a precise PV emulator that can faithfully reproduce the nonlinear properties of a PV array. The prime objective of the constructed emulator based on integration of unilluminated solar panels with external current sources is to overcome the constraints such as the need for wide surrounding space, high installation cost, and lack of control over the environmental conditions. In addition, the proposed PV emulator is able to simulate the electrical characteristics of the PV system under uniform irradiation as well as partially shading conditions (PSC). Moreover, the application of MPPT technology in PV systems under PSC conditions is challenging. Under complex environmental conditions, the power-voltage (P-V) characteristic curve of a PV system is likely to contain both local global maximum power points (LMPPs) and global maximum power points (GMPP). The MPPT algorithm applied to a PV system should have minimal steady-state oscillations to reduce power losses while accurately searching for the GMPP. The proposed MPPT algorithms resolved the drawbacks of the conventional MPPT method that have poor transient response, high continuous steady-state oscillation, and inefficient tracking performance of maximum power point voltage in the presence of partial shading. The intended algorithms have been verified using MATLAB/Simulink and the proposed PV emulator by applying comparative analysis with the traditional MPPT algorithms. In addition, the performance of the proposed MPPT algorithms and control scheme is validated experimentally with the implementation of MATLAB/Simulink/Stateflow on dSPACE Real-Time-Interface (RTI) 1007 processor board and DS2004 A/D and CP4002 Digital I/O boards. The results indicate that the algorithm is effective in reducing power losses and faster in tracking the speed of the maximum power point with less oscillation under partial shading conditions. In addition, excellent dynamic characteristics of the proposed emulator have been proven to be an ideal tool for testing PV inverters and various maximum power point tracking (MPPT) algorithms for commercial applications and university studies. E-Thesis Swansea, Wales, UK Photovoltaic system, PV emulator, MPPT, partial shading 21 6 2023 2023-06-21 10.23889/SUthesis.63858 COLLEGE NANME COLLEGE CODE Swansea University Zhou, Zhongfu Doctoral Ph.D 2023-10-05T14:55:52.4666998 2023-07-11T14:45:29.9175883 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering YIDONG WANG 1 63858__28082__2edde3f5064d4790a1bd380bad1eec05.pdf 2023_Wang_Y.final.63858.pdf 2023-07-11T14:55:06.0749339 Output 8960570 application/pdf E-Thesis – open access true Copyright: The Author, Yidong Wang, 2023. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
spellingShingle Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
YIDONG WANG
title_short Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
title_full Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
title_fullStr Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
title_full_unstemmed Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
title_sort Photovoltaic Emulation System and Maximum Power Point Tracking Algorithm Under Partial Shading Conditions
author_id_str_mv 639b76dd8b712c6429f715a5b528abb4
author_id_fullname_str_mv 639b76dd8b712c6429f715a5b528abb4_***_YIDONG WANG
author YIDONG WANG
author2 YIDONG WANG
format E-Thesis
publishDate 2023
institution Swansea University
doi_str_mv 10.23889/SUthesis.63858
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
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description In this thesis, a novel photovoltaic (PV) emulator and the state-of-art learning–based real-time hybrid maximum power point tracking (MPPT) algorithms have been presented. Real-time research on PV systems is a challenging task because it requires a precise PV emulator that can faithfully reproduce the nonlinear properties of a PV array. The prime objective of the constructed emulator based on integration of unilluminated solar panels with external current sources is to overcome the constraints such as the need for wide surrounding space, high installation cost, and lack of control over the environmental conditions. In addition, the proposed PV emulator is able to simulate the electrical characteristics of the PV system under uniform irradiation as well as partially shading conditions (PSC). Moreover, the application of MPPT technology in PV systems under PSC conditions is challenging. Under complex environmental conditions, the power-voltage (P-V) characteristic curve of a PV system is likely to contain both local global maximum power points (LMPPs) and global maximum power points (GMPP). The MPPT algorithm applied to a PV system should have minimal steady-state oscillations to reduce power losses while accurately searching for the GMPP. The proposed MPPT algorithms resolved the drawbacks of the conventional MPPT method that have poor transient response, high continuous steady-state oscillation, and inefficient tracking performance of maximum power point voltage in the presence of partial shading. The intended algorithms have been verified using MATLAB/Simulink and the proposed PV emulator by applying comparative analysis with the traditional MPPT algorithms. In addition, the performance of the proposed MPPT algorithms and control scheme is validated experimentally with the implementation of MATLAB/Simulink/Stateflow on dSPACE Real-Time-Interface (RTI) 1007 processor board and DS2004 A/D and CP4002 Digital I/O boards. The results indicate that the algorithm is effective in reducing power losses and faster in tracking the speed of the maximum power point with less oscillation under partial shading conditions. In addition, excellent dynamic characteristics of the proposed emulator have been proven to be an ideal tool for testing PV inverters and various maximum power point tracking (MPPT) algorithms for commercial applications and university studies.
published_date 2023-06-21T14:55:54Z
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score 11.036553

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