Published

2015-06-01

Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm

Controlador auto-ajustable de sistemas fotovoltaicos para incrementar la velocidad de respuesta y estabilidad del algoritmo P&O

DOI:

https://doi.org/10.15446/ing.investig.v35n1Sup.53581

Keywords:

Adaptive control, photovoltaic system, sliding mode, perturb and observe, maximum power point tracking. (en)
Control adaptativo, sistema fotovoltaico, modo deslizante, perturbar y observar, seguimiento del punto de máxima. (es)

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Authors

  • Paula Andrea Ortiz Valencia Associate Professor, Instituto Tecnológico Metropolitano
  • Carlos Andrés Ramos Paja Associate Professor, Universidad Nacional de Colombia
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.

En este trabajo se propone un sistema de control auto-ajustable para garantizar una respuesta rápida del sistema fotovoltaico (PV) mediante la reducción del tiempo de perturbación del algoritmo P&O. Con esta solución se logra acelerar el seguimiento del punto de máxima potencia y al mismo tiempo garantizar la estabilidad del sistema, incrementando de esta manera la cantidad de energía producida. La ley de control está compuesta por tres controladores en cascada: Un algoritmo P&O parametrizado dinámicamente; un control adaptativo PI, cuyos parámetros son modificados por la ley de adaptación dependiendo de las condiciones de operación para reducir el tiempo de establecimiento tanto como sea posible; y un controlador en modos deslizantes de corriente que mitiga las perturbaciones ambientales y de la carga para garantizar la estabilidad global. El diseño de la nueva estructura de control se soporta con análisis matemáticos y se valida con simulaciones realizadas en PSIM que demuestran la robustez de la solución.

References

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Auto-tuning of PV controllers to improve the speed response and stability of the P&O algorithm. (2015). Ingeniería E Investigación, 35(1Sup), 5-12. https://doi.org/10.15446/ing.investig.v35n1Sup.53581
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Copyright (c) 2015 Paula Andrea Ortiz Valencia, Carlos Andrés Ramos Paja

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