Maximum power point tracking in PV systems based on adaptive control and sliding mode control

Ortiz-Valencia, Paula A.; Trejos-Grisales, Luz Adriana; Ramos‐Paja, Carlos Andrés

doi:10.17533/udea.redin.n75a08

Cited by 5 publications

(9 citation statements)

References 10 publications

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“…Moreover, Figure 11 shows the auto-tuning of the controller parameters, k p and k i , and the resulting change in the settling time of the PV voltage and in the disturbance period of the P&O algorithm; all of which improves the system performance for each condition. With the aim of illustrating the performance improvement provided by the proposed solution, Figure 12 shows the comparison between the dynamic responses of the P&O solution based on a traditional PI controller an adaptive MRAC-SMCC controller (Ortiz-Valencia et al, 2015), and the proposed adaptive PI-SMCC solution.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…However, due to the experience-based design of the Fuzzy component, the desired operation is ensured around the tested conditions only. A similar approach was introduced in (Ortiz-Valencia et al, 2015), which is based in the cascade operation of a sliding mode current controller (SMCC) and a model reference adaptive controller (MRAC): The SMCC is designed to guarantee the global stability, while the MRAC is designed to provide a pre-established dynamic response to ensure a constant settling time to the PV voltage. Despite (Ortiz-Valencia et al, 2015) and (Ortiz-valencia et al, 2013) ensure constant settling times, such a time must be a static and pre-defined value, and therefore the P&O operation cannot be optimized depending on the operation conditions; in fact, the settling-time value is limited by the dynamic response of the converter in the worst case.…”

Section: Introductionmentioning

confidence: 99%

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

Valencia

Ramos‐Paja

2015

ing.inv.

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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.Keywords: Adaptive control, photovoltaic system, sliding mode, perturb and observe, maximum power point tracking. RESUMENEn 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.Palabras clave: Control adaptativo, sistema fotovoltaico, modo deslizante, perturbar y observar, seguimiento del punto de máxima potencia.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Valencia

Ramos‐Paja

2015

ing.inv.

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“…Ortiz‐Valencia et al investigate the improvement of maximum power tracking algorithm based on the combination of sliding mode current controller (SMCC) and a model reference adaptive controller (MRAC). The nonlinear SMCC is used to ensure the system stability; while the MRAC guarantees a constant PV voltage settling time for P&O MPPT algorithm.…”

Section: Related Work On Sliding Mode Mpptmentioning

confidence: 99%

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

Harrag

Messalti

2019

Int J Numerical Modelling

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This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the conventional perturb and observe (P&O) algorithm. The system operates in two modes: offline mode required for testing different set of SMC gains leading to optimum values; and online mode where the SMC optimum gains were used to drive the variable step of the P&O MPPT. The effectiveness of the proposed MPPT has been studied successfully using a Solarex MSX-60 module connected to a boost DC-DC converter powering a resistive load. Comparison study of the proposed MPPT with the classical fixed step P&O is presented showing a good efficiency and improvements of the proposed algorithm in transient, steady-state, and dynamic responses, especially under fast changing atmospheric conditions. Besides using PSO to tune the SMC parameters, our main contribution consists of improving the performance of proposed algorithm to track effectively the maximum power point (MPP) with low oscillation, low ripple, low overshoot, and good rapidity in slow and fast changing atmospheric conditions compared with conventional P&O. KEYWORDS fixed step size, MPPT, particle swarm optimization, photovoltaic system, sliding mode controller, variable step size

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“…Then, the transfer function between the PV voltage and the duty cycle v pv d is calculated as in Equation (45). It is important to remark that R pv changes with the solar irradiance and temperature, hence the settling time t s of the PV voltage constantly changes [39]:…”

Section: Energies 2015 8 23mentioning

confidence: 99%

“…It is important to remark that changes with the solar irradiance and temperature, hence the settling time ts of the PV voltage constantly changes [39]:…”

Section: Energies 2015 8 23mentioning

confidence: 99%

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

Valencia

Ramos‐Paja

2015

Energies

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Abstract:The maximum power point tracking (MPPT) of photovoltaic systems must be as fast and accurate as possible to increase the power production, which eventually increases the PV system profitability. This paper proposes and mathematically analyses a sliding-mode controller to provide a fast and accurate maximum power point tracking in grid-connected photovoltaic systems using a single control stage. This approach avoids the circular dependency in the design of classical cascade controllers used to optimize the photovoltaic system operation, and at the same time, it reduces the number of controllers and avoids the use of linearized models to provide global stability in all the operation range. Such a compact solution also reduces the system cost and implementation complexity. To ensure the stability of the proposed solution, detailed mathematical analyses are performed to demonstrate the fulfillment of the transversality, reachability and equivalent control conditions. Finally, the performance of the proposed solution is validated using detailed simulations, executed in the power electronics simulator PSIM, accounting for both environmental and load perturbations.

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Maximum power point tracking in PV systems based on adaptive control and sliding mode control

Abstract: Maximum power point tracking in PV systems based on adaptive control and sliding mode control Seguimiento del máximo punto de potencia en sistemas fotovoltaicos basado en control adaptativo y un control en modos deslizantes

Cited by 5 publications

References 10 publications

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

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

PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

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