DC bus voltage control strategy of PV systems based on fuzzy logic
In a grid-connected photovoltaic (PV) power generation system, sudden changes in the output power of PV panels, caused by fluctuations in solar irradiation or shading, as well as real-time variations in system load, can lead to significant voltage fluctuations in the DC bus. If not properly managed,...
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EDP Sciences
2025-01-01
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Series: | E3S Web of Conferences |
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00094.pdf |
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author | El Oussoul Laarabi Elhamdaouy Achour Belattar Abdellatif Ait Madi Abdessalam |
author_facet | El Oussoul Laarabi Elhamdaouy Achour Belattar Abdellatif Ait Madi Abdessalam |
author_sort | El Oussoul Laarabi |
collection | DOAJ |
description | In a grid-connected photovoltaic (PV) power generation system, sudden changes in the output power of PV panels, caused by fluctuations in solar irradiation or shading, as well as real-time variations in system load, can lead to significant voltage fluctuations in the DC bus. If not properly managed, these voltage fluctuations can compromise the stability and efficiency of the entire system. To address this challenge and improve the performance of DC bus voltage regulation, this paper proposes a control method based on a fuzzy logic controller (FLC). The proposed method primarily relies on two key correctors: the first is an energy corrector, which regulates the energy stored in the DC bus capacitor, and the second is an FLC, which controls the current to maintain voltage stability. This dual-corrector system is designed to enhance the system’s response to power fluctuations and maintain a stable DC bus voltage. The performance of this FLC-based control approach is compared to the traditional double closed-loop PI control method. Simulation results, carried out in the Matlab/Simulink environment, demonstrate that the proposed FLC method outperforms the traditional PI control in terms of both system stability and dynamic response. This improvement is especially evident in handling sudden disturbances and maintaining consistent voltage levels. |
format | Article |
id | doaj-art-1455f495e92544c9b6a1757530e69e98 |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2025-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj-art-1455f495e92544c9b6a1757530e69e982025-02-05T10:46:26ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010009410.1051/e3sconf/202560100094e3sconf_icegc2024_00094DC bus voltage control strategy of PV systems based on fuzzy logicEl Oussoul Laarabi0Elhamdaouy Achour1Belattar Abdellatif2Ait Madi Abdessalam3Advanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail UniversityElectronic Systems, Mechanical and Energetic Laboratory, High school of Technology, Ibn Tofail UniviesityAdvanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail UniversityAdvanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail UniversityIn a grid-connected photovoltaic (PV) power generation system, sudden changes in the output power of PV panels, caused by fluctuations in solar irradiation or shading, as well as real-time variations in system load, can lead to significant voltage fluctuations in the DC bus. If not properly managed, these voltage fluctuations can compromise the stability and efficiency of the entire system. To address this challenge and improve the performance of DC bus voltage regulation, this paper proposes a control method based on a fuzzy logic controller (FLC). The proposed method primarily relies on two key correctors: the first is an energy corrector, which regulates the energy stored in the DC bus capacitor, and the second is an FLC, which controls the current to maintain voltage stability. This dual-corrector system is designed to enhance the system’s response to power fluctuations and maintain a stable DC bus voltage. The performance of this FLC-based control approach is compared to the traditional double closed-loop PI control method. Simulation results, carried out in the Matlab/Simulink environment, demonstrate that the proposed FLC method outperforms the traditional PI control in terms of both system stability and dynamic response. This improvement is especially evident in handling sudden disturbances and maintaining consistent voltage levels.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00094.pdfcontrol strategy of dc bus voltagecontrol strategy of micro gridsac&dcmicro gridsphotovoltaic systemsfuzzy logic controldc-dc convertersimulationmatlab |
spellingShingle | El Oussoul Laarabi Elhamdaouy Achour Belattar Abdellatif Ait Madi Abdessalam DC bus voltage control strategy of PV systems based on fuzzy logic E3S Web of Conferences control strategy of dc bus voltage control strategy of micro grids ac&dc micro grids photovoltaic systems fuzzy logic control dc-dc converter simulation matlab |
title | DC bus voltage control strategy of PV systems based on fuzzy logic |
title_full | DC bus voltage control strategy of PV systems based on fuzzy logic |
title_fullStr | DC bus voltage control strategy of PV systems based on fuzzy logic |
title_full_unstemmed | DC bus voltage control strategy of PV systems based on fuzzy logic |
title_short | DC bus voltage control strategy of PV systems based on fuzzy logic |
title_sort | dc bus voltage control strategy of pv systems based on fuzzy logic |
topic | control strategy of dc bus voltage control strategy of micro grids ac&dc micro grids photovoltaic systems fuzzy logic control dc-dc converter simulation matlab |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00094.pdf |
work_keys_str_mv | AT eloussoullaarabi dcbusvoltagecontrolstrategyofpvsystemsbasedonfuzzylogic AT elhamdaouyachour dcbusvoltagecontrolstrategyofpvsystemsbasedonfuzzylogic AT belattarabdellatif dcbusvoltagecontrolstrategyofpvsystemsbasedonfuzzylogic AT aitmadiabdessalam dcbusvoltagecontrolstrategyofpvsystemsbasedonfuzzylogic |