Adaptive Passivity-Based Control of a Photovoltaic/Battery Hybrid Power Source via Algebraic Parameter Identification

Mojallizadeh, Mohammad Rasool; Badamchizadeh, Mohammad Ali

doi:10.1109/jphotov.2016.2514715

Cited by 53 publications

(18 citation statements)

References 22 publications

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“…No obstante, en trabajos como el presentado en [12], se incorporan técnicas de adaptabilidad mediante la identificación algebraica de parámetros, en la que se usan ventanas de tiempo relativamente grandes para la determinación de dichos parámetros y en los cuales se asume que dicha variable permanece constante, lo que lo convierte en un método de largos tiempos de respuesta. Por lo anterior, este articulo presenta el modelamiento y diseño de control de un SAE para una nano-red DC, que a diferencia de los muchos desarrollos al respecto, hace uso de una topología de conversión no aislada de alta eficiencia, cuyo control se basa en pasividad, lo cual asegura una estabilidad ininterrumpida del sistema, pero que presenta problemas de robustez al poseer un alto grado de dependencia de los parámetros del sistema.…”

Section: Figura 1 Corriente Del Sae De Acuerdo Con La Tensión Del Buunclassified

Control basado en pasividad con estrategia adaptativa de un sistema de almacenamiento energético para una nano-red DC

Sanchez-Choachi

2019

rev.ing.univ.Medellin

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El creciente interés en el desarrollo de las micro-redes ha impulsado un gran número de investigaciones que pretenden mejorar su desempeño para una posterior industrialización. Por este motivo, este artículo presenta el modelamiento, diseño de control y resultados de simulación de un sistema de almacenamiento energético para una nano-red DC, el cual permite almacenar energía en las baterías o extraerla de ellas, según sea el estado de las cargas y las fuentes de la nano-red. Este dispositivo se construye a partir de un convertidor bidireccional DC-DC no aislado, para el que se desarrolla su modelo y posterior estrategia de control basada en pasividad, acompañada de un mecanismo adaptativo que le permite estimar algunos de sus parámetros y cambios. Se presentan los resultados de simulación entre los cuales destaca la rápida respuesta del sistema, su robustez ante perturbaciones y la contribución a la regulación de la tensión del bus DC de la nano-red.

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Section: Figura 1 Corriente Del Sae De Acuerdo Con La Tensión Del Buunclassified

Control basado en pasividad con estrategia adaptativa de un sistema de almacenamiento energético para una nano-red DC

Sanchez-Choachi

2019

rev.ing.univ.Medellin

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“…Define the tracking error =[ , ] T =[ - * , - * ] T , where * and * are the references of q-axis current and DC-link voltage, respectively. Differentiate the tracking error until the control input u appears explicitly, yields q * * (22) where (23) with 0…”

Section: Pbfosmc Design Of Pv Inverter For Mpptmentioning

confidence: 99%

“…Furthermore, PBC was synthesized via the energy shaping and damping injection techniques for power management of PV/battery hybrid power sources [22]. Meanwhile, an adaptive passivity-based controller (APBC) was developed for PV/battery hybrid power sources via an algebraic parameter identifier, which can estimate the unknown parameters of PV array voltage, battery voltage, and load resistance [23]. In work [24], a PBC was designed for T-type neutral point clamped (T-NPC) PV inverter with Euler-Lagrange (EL) representation by the damping injection method, such that the dynamical performance of the current connected into the power grid can be dramatically improved.…”

Section: Introductionmentioning

confidence: 99%

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

Yang

Shu

et al. 2018

Journal of Renewable and Sustainable Energy

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In order to achieve the maximum power point tracking (MPPT) of Photovoltaic (PV) systems in the presence of time-varying stochastic operation conditions and various uncertainties/disturbances, a passivity-based fractional-order sliding-mode control (PbFoSMC) scheme is proposed. The design can be classified into two steps, i.e., (a) Construct a storage function in terms of the tracking error of DC-link voltage, DC-link current and q-axis current for the PV system, upon which the actual characteristics of each term is thoroughly analyzed. Moreover, the beneficial terms are carefully retained to enhance the dynamical responses of the closed-loop system while the detrimental terms are fully removed to realize a global control consistency; (b) Based on the passivized system, a fractional-order sliding-mode control (FoSMC) is incorporated as an additional input, which can considerably improve the control performance with the aim of rapid uncertainties/disturbances rejection. Four case studies, including the solar irradiance change, temperature variation, power grid voltage drop, and PV inverter parameter uncertainties, are undertaken to evaluate the effectiveness of PbFoSMC in comparison to that of PID control, passivity-based control (PBC), and sliding-mode control (SMC), respectively. At last, a dSpace based hardware-in-loop (HIL) test is carried out to validate the implementation feasibility of PbFoSMC.

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“…In [8], by the use of a gravitational search technique, a controller is designed for power management and for optimal battery charging. In [9], a passivity-based control system is proposed, and the effect of variation of load resistance is studied. In [10], the frequency stability in a PV/battery/hydropower microgrid is investigated by the use of a small-signal statespace model to guarantee the desired power-sharing.…”

Section: Introductionmentioning

confidence: 99%

A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

et al. 2021

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Adaptive Passivity-Based Control of a Photovoltaic/Battery Hybrid Power Source via Algebraic Parameter Identification

Cited by 53 publications

References 22 publications

Control basado en pasividad con estrategia adaptativa de un sistema de almacenamiento energético para una nano-red DC

Control basado en pasividad con estrategia adaptativa de un sistema de almacenamiento energético para una nano-red DC

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

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