Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm
This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P&O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which incre...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional de Colombia
2015-06-01
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| Series: | Ingeniería e Investigación |
| Subjects: | |
| Online Access: | https://revistas.unal.edu.co/index.php/ingeinv/article/view/53581 |
| _version_ | 1819263122164154368 |
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| author | Paula Andrea Ortiz Valencia Carlos Andrés Ramos Paja |
| author_facet | Paula Andrea Ortiz Valencia Carlos Andrés Ramos Paja |
| author_sort | Paula Andrea Ortiz Valencia |
| collection | DOAJ |
| description | This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P&O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which increases the amount of energy produced by the PV system. The control system consists of three cascaded controllers: a P&O algorithm dynamically parameterized by the adaptive law in order to guarantee stability; an adaptive PI controller whose parameters are modified by the adaptive law, depending on the operating conditions, to reduce the settling time of the system as much as possible; and a sliding mode current controller to mitigate environmental and load perturbations and ensure global stability. The design of the new control structure is supported by mathematical analyses and validated with simulations performed in PSIM in order to demonstrate the robustness of the proposed solution. |
| first_indexed | 2024-12-23T20:08:34Z |
| format | Article |
| id | doaj.art-902558b9c1a44838a2e3b53e4669f073 |
| institution | Directory Open Access Journal |
| issn | 0120-5609 2248-8723 |
| language | English |
| last_indexed | 2024-12-23T20:08:34Z |
| publishDate | 2015-06-01 |
| publisher | Universidad Nacional de Colombia |
| record_format | Article |
| series | Ingeniería e Investigación |
| spelling | doaj.art-902558b9c1a44838a2e3b53e4669f0732022-12-21T17:32:52ZengUniversidad Nacional de ColombiaIngeniería e Investigación0120-56092248-87232015-06-01351Sup51210.15446/ing.investig.v35n1Sup.5358141440Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithmPaula Andrea Ortiz Valencia0Carlos Andrés Ramos Paja1Associate Professor, Instituto Tecnológico MetropolitanoAssociate Professor, Universidad Nacional de ColombiaThis paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P&O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which increases the amount of energy produced by the PV system. The control system consists of three cascaded controllers: a P&O algorithm dynamically parameterized by the adaptive law in order to guarantee stability; an adaptive PI controller whose parameters are modified by the adaptive law, depending on the operating conditions, to reduce the settling time of the system as much as possible; and a sliding mode current controller to mitigate environmental and load perturbations and ensure global stability. The design of the new control structure is supported by mathematical analyses and validated with simulations performed in PSIM in order to demonstrate the robustness of the proposed solution.https://revistas.unal.edu.co/index.php/ingeinv/article/view/53581Adaptive controlphotovoltaic systemsliding modeperturb and observemaximum power point tracking. |
| spellingShingle | Paula Andrea Ortiz Valencia Carlos Andrés Ramos Paja Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm Ingeniería e Investigación Adaptive control photovoltaic system sliding mode perturb and observe maximum power point tracking. |
| title | Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm |
| title_full | Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm |
| title_fullStr | Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm |
| title_full_unstemmed | Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm |
| title_short | Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm |
| title_sort | auto tuning of pv controllers to improve the speed response and stability of the p o algorithm |
| topic | Adaptive control photovoltaic system sliding mode perturb and observe maximum power point tracking. |
| url | https://revistas.unal.edu.co/index.php/ingeinv/article/view/53581 |
| work_keys_str_mv | AT paulaandreaortizvalencia autotuningofpvcontrollerstoimprovethespeedresponseandstabilityofthepoalgorithm AT carlosandresramospaja autotuningofpvcontrollerstoimprovethespeedresponseandstabilityofthepoalgorithm |