Auto-tuning of PV controllers to improve the speed response and stability of the P and 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 and O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which incre...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Colombia |
| Institución: | Universidad Nacional de Colombia |
| Repositorio: | Repositorio UN |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unal.edu.co:unal/67656 |
| Acceso en línea: | https://repositorio.unal.edu.co/handle/unal/67656 http://bdigital.unal.edu.co/68685/ |
| Access Level: | acceso abierto |
| Palabra clave: | 62 Ingeniería y operaciones afines / Engineering Adaptive control photovoltaic system sliding mode perturb and observe maximum power point tracking. Control adaptativo sistema fotovoltaico modo deslizante perturbar y observar seguimiento del punto de máxima. |
| Sumario: | 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 and 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 and 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. |
|---|