Predictive &amp; Adaptive MPPT Perturb and Observe Method

Fermia, N.; Granozio, D.; Petrone, G.; Vitelli, M.

doi:10.1109/taes.2007.4383584

Cited by 377 publications

(144 citation statements)

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“…Since the aim of this paper is not a contribution in relation to the dc-dc stage control, classic cascaded current and voltage loops are considered along with the well known perturb and observe (P&O) algorithm [18], [19] describe the control method and power imbalance compensation technique for the centralized CHB converter.…”

Section: Proposed Control Methodsmentioning

confidence: 99%

Cascaded H-bridge multilevel converter multistring topology for large scale photovoltaic systems

Rivera

Kouro

et al. 2011

2011 IEEE International Symposium on Industrial Electronics

195

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Abstract-Large scale grid connected photovoltaic (PV) energy conversion systems have reached the megawatt level. This imposes new challenges on existing grid interface converter topologies and opens new opportunities to be explored. In this paper a new medium voltage multilevel-multistring configuration is introduced based on a three-phase cascaded H-bridge (CHB) converter and multiple string dc-dc converters. The proposed configuration enables a large increase of the total capacity of the PV system, while improving power quality and efficiency. The converter structure is very flexible and modular since it decouples the grid converter from the PV string converter, which allows to accomplish independent control goals.The main challenge of the proposed configuration is to handle the inherent power imbalances that occur not only between the different cells of one phase of the converter but also between the three phases. The control strategy to deal with these imbalances is also introduced in this paper. Simulation results of a 7-level CHB for a multistring PV system are presented to validate the proposed topology and control method.

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Section: Proposed Control Methodsmentioning

confidence: 99%

Cascaded H-bridge multilevel converter multistring topology for large scale photovoltaic systems

Rivera

Kouro

et al. 2011

2011 IEEE International Symposium on Industrial Electronics

195

View full text Add to dashboard Cite

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“…On the other hand, large perturbation step size increases the steady state oscillations. Hence to improve the performance of P&O, a variable perturbation step size was utilized (Masoum, Dehbonei, & Fuchs, 2002;Femia, Granozio, Petrone, Spagnuolo, & Vitelli, 2007;Pandey, Dasgupta, & Mukerjee, 2008).…”

Section: Introductionmentioning

confidence: 99%

<b>Impact of modified perturb and observe control on MPPT of PV/battery fed three - port DC‐DC converter

Mahendran

Ramaprabha

2017

Acta Sci. Technol.

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ABSTRACT. This paper presents the modified perturb and observe (P&O) maximum power point tracking (MPPT) method for photovoltaic (PV) fed three-port DC-DC converter in PV/battery hybrid system. The proposed MPPT technique reduces the drift problem which occurs in the conventional MPPT methods by including the data of change in current (ΔI) in addition to the data used in the conventional P&O algorithm. The drift phenomenon and its effects are clearly demonstrated in this paper. The ability of the proposed P&O method to address this issue is proved by comparing the conventional P&O algorithm in different modes of operation. The performance assessment includes peak overshoot, settling time, MPP ratio and stability. The experimental validation was implemented using DSPIC30F4011 microcontroller. From the analysis and results, it could be seen that the modified P&O showed better performance in terms of accuracy in tracking the maximum power, less tracking time, high MPP ratio and reduced drift in the changing weather conditions. Keywords: current-voltage characteristics, DC-DC power converters, drift, photovoltaic systems, power demand, pulse width modulation.Impacto da modificação perturbar e observar de controle na MPPT de PV / bateria fed Três -port conversor DC-DC RESUMO. Este artigo apresenta o método de monitoramento de ponto de potência máximo (MPPT) modificado e observado (P&O) para o conversor DC-DC de três portas alimentado por energia fotovoltáica (PV) no sistema híbrido PV/bateria. A técnica MPPT proposta reduz o problema de deslocamento (drift) que ocorre nos métodos MPPT convencionais, incluindo os dados de mudança na corrente (ΔI), além dos dados usados no algoritmo P&O convencional. O fenômeno do deslocamento (drift) e seus efeitos estão claramente demonstrados neste artigo. A capacidade do método de P&O proposto para resolver este problema é comprovado comparando com o algoritmo de P&O convencional em diferentes modos de operação. A avaliação de desempenho inclui o superávit do pico, tempo de estabilização, relação de MPP e estabilidade. A validação experimental foi implementada usando o microcontrolador DSPIC3o30F4011. A partir da análise e dos resultados, verificou-se que o P&O modificado mostrou melhor desempenho em termos de precisão no rastreamento da potência máxima, menor tempo de rastreamento, alta relação de MPP e deslocamento reduzido nas condições climáticas em constante mudança.Palavras-chave: características corrente-tensão, conversores de potência DC-DC, deslocamento, sistemas fotovoltáicos, demanda de energia, modulação de largura de pulso.

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“…Moreover, the P&O algorithm provides high efficiencies if the algorithm parameters are properly designed; however, such design typically depends on the operating point defined by the environmental conditions, which are unpredictable (Femia et al, 2005). Different approaches to optimize the P&O algorithm have been published; for instance, the work in (Femia, Granozio, Petrone, Spagnuolo, & Vitelli, 2007) presents an optimizing of the P&O algorithm using a predictive-adaptive control, where the magnitude of the duty cycle perturbation changes to speed up the tracking the MPP. Similarly, in (Kumar, Student, Kumar, & Senior, 2013), (Piegari & Rizzo, 2010), and (Wang, Wang, & Meng, 2012), adaptive techniques are used to optimize the P&O algorithm with two main objectives: to ensure stability at both transients and steady state, and to improve the tracking speed when the MPP changes due to climatic perturbations.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, in (Kumar, Student, Kumar, & Senior, 2013), (Piegari & Rizzo, 2010), and (Wang, Wang, & Meng, 2012), adaptive techniques are used to optimize the P&O algorithm with two main objectives: to ensure stability at both transients and steady state, and to improve the tracking speed when the MPP changes due to climatic perturbations. However, the works reported in (Femia et al, 2007), (Kumar et al, 2013), (Piegari & Rizzo, 2010) and (Wang et al, 2012) do not take into account the C b voltage oscillations generated by the inverter; hence, such techniques do not ensure a stable operation of a grid-connected PV system. This paper is focused on the improvement of the tracking speed of the P&O algorithm, whose operation is defined by two parameters: the disturbance period T a and the disturbance magnitude ΔV.…”

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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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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Predictive & Adaptive MPPT Perturb and Observe Method

Cited by 377 publications

References 10 publications

Cascaded H-bridge multilevel converter multistring topology for large scale photovoltaic systems

Cascaded H-bridge multilevel converter multistring topology for large scale photovoltaic systems

<b>Impact of modified perturb and observe control on MPPT of PV/battery fed three - port DC‐DC converter

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

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