Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system
Solar photovoltaic technology has been adopted by various global PV markets with 227 GW cumulative globally installed PV capacity in 2015 replacing the conventional fossil fuel energy resources. However, efficiency is still a big challenge for researchers and PV industry. This paper proposes a solar...
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| Format: | Article |
| Language: | English |
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Springer
2020-11-01
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| Series: | Journal of King Saud University: Engineering Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S101836391730380X |
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| author | Muhammad Kamran Muhammad Mudassar Muhammad Rayyan Fazal Muhammad Usman Asghar Muhammad Bilal Rohail Asghar |
| author_facet | Muhammad Kamran Muhammad Mudassar Muhammad Rayyan Fazal Muhammad Usman Asghar Muhammad Bilal Rohail Asghar |
| author_sort | Muhammad Kamran |
| collection | DOAJ |
| description | Solar photovoltaic technology has been adopted by various global PV markets with 227 GW cumulative globally installed PV capacity in 2015 replacing the conventional fossil fuel energy resources. However, efficiency is still a big challenge for researchers and PV industry. This paper proposes a solar tracker and modified Perturb and Observe (P&O) algorithm for the standalone solar photo-voltaic system. Proposed algorithm confines the search space of the power curve to 10% area that contains Maximum Power Point (MPP) and starts perturbation and observation within that limited search space. The proposed P&O algorithm was simulated in MATLAB/Simulink. Solar tracker makes sure the availability of uniform and maximum irradiance to the solar module throughout the course of the sun during the day. Confinement of the algorithm’s search space lessened the response time to the changing weather conditions that in return decreases the steady-state oscillations at the MPP. Integration of the solar tracker and improved P&O MPPT algorithm provided the better quality and conditioned electricity to the load. The proposed system was experimentally steered whose results verified the effectiveness of the proposed P&O algorithm. |
| format | Article |
| id | doaj-art-26a2d88b23cb4aac8b1885302cfe3e03 |
| institution | Kabale University |
| issn | 1018-3639 |
| language | English |
| publishDate | 2020-11-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Engineering Sciences |
| spelling | doaj-art-26a2d88b23cb4aac8b1885302cfe3e032025-08-20T03:54:51ZengSpringerJournal of King Saud University: Engineering Sciences1018-36392020-11-0132743244110.1016/j.jksues.2018.04.006Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic systemMuhammad Kamran0Muhammad Mudassar1Muhammad Rayyan Fazal2Muhammad Usman Asghar3Muhammad Bilal4Rohail Asghar5College of Engineering and Technology, Riphah International University, Faisalabad, Pakistan; Corresponding author.College of Engineering and Technology, Riphah International University, Faisalabad, PakistanCollege of Engineering and Technology, Riphah International University, Faisalabad, PakistanCollege of Engineering and Technology, Riphah International University, Faisalabad, PakistanCentre for Energy Research and Development, University of Engineering and Technology, Lahore, PakistanCentre for Energy Research and Development, University of Engineering and Technology, Lahore, PakistanSolar photovoltaic technology has been adopted by various global PV markets with 227 GW cumulative globally installed PV capacity in 2015 replacing the conventional fossil fuel energy resources. However, efficiency is still a big challenge for researchers and PV industry. This paper proposes a solar tracker and modified Perturb and Observe (P&O) algorithm for the standalone solar photo-voltaic system. Proposed algorithm confines the search space of the power curve to 10% area that contains Maximum Power Point (MPP) and starts perturbation and observation within that limited search space. The proposed P&O algorithm was simulated in MATLAB/Simulink. Solar tracker makes sure the availability of uniform and maximum irradiance to the solar module throughout the course of the sun during the day. Confinement of the algorithm’s search space lessened the response time to the changing weather conditions that in return decreases the steady-state oscillations at the MPP. Integration of the solar tracker and improved P&O MPPT algorithm provided the better quality and conditioned electricity to the load. The proposed system was experimentally steered whose results verified the effectiveness of the proposed P&O algorithm.http://www.sciencedirect.com/science/article/pii/S101836391730380XPerturb and ObserveMPPTSolar trackerSolar PV |
| spellingShingle | Muhammad Kamran Muhammad Mudassar Muhammad Rayyan Fazal Muhammad Usman Asghar Muhammad Bilal Rohail Asghar Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system Journal of King Saud University: Engineering Sciences Perturb and Observe MPPT Solar tracker Solar PV |
| title | Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system |
| title_full | Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system |
| title_fullStr | Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system |
| title_full_unstemmed | Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system |
| title_short | Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system |
| title_sort | implementation of improved perturb amp observe mppt technique with confined search space for standalone photovoltaic system |
| topic | Perturb and Observe MPPT Solar tracker Solar PV |
| url | http://www.sciencedirect.com/science/article/pii/S101836391730380X |
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