Robust adaptive integral backstepping control for MPPT and UPF of PV system connected to the grid

Skik, Noureddine; Abbou, Ahmed

doi:10.1109/irec.2016.7478857

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…Among these parameters we quote: the type of converters used, the command by which this converter was controlled, and the way of connection between all the devices of the PV system. In [1]- [2], The PV system is made up of a PV generator, two static converters and an electrical grid (figure 1).…”

Section: Introductionmentioning

confidence: 99%

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Skik*¹,

Abbou²

2020

IJITEE

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We propose in this paper a nonlinear controller to optimize the operation of a photovoltaic device consisting of a PV generator, a three-phase inverter, and an LCL filter. Unlike traditional systems, this system is reliable and is not expensive, thanks to the absence of the DC-DC converter. In reality, we are trying to achieve two goals: (i) Search track and extract the maximum power from the PV generator (MPPT requirement); (ii) Inject this power into the network in the form of an alternating current which has the same pulsation as that of the network (UPF requirement). To achieve these objectives, the proposed controller was designed using non-linear design techniques, based on the nonlinear modeling of the photovoltaic system. Numerical simulation and its results showed the performance of the nonlinear controller and its ability to confront the challenges described in this article (MPP and UPF requirement), external disturbances and abrupt climatic changes.

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Section: Introductionmentioning

confidence: 99%

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Skik*¹,

Abbou²

2020

IJITEE

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“…As the output of the PV system depends on weather conditions, therefore, the voltage and current of the PV system need to be controlled for maximum power extraction [1]. In order to acquire the maximum advantage from the PV system, it is imperative to operate PV near the Maximum Power Point (MPP).…”

Section: Introductionmentioning

confidence: 99%

Neuro-Fuzzy Wavelet Based Adaptive MPPT Algorithm for Photovoltaic Systems

Hassan

Kamal

et al. 2017

Energies

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An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain several uncertainties. Based on the analysis of the existing literature of Maximum Power Point Tracking (MPPT) techniques, a high performance neuro-fuzzy indirect wavelet-based adaptive MPPT control is developed in this work. The proposed controller combines the reasoning capability of fuzzy logic, the learning capability of neural networks and the localization properties of wavelets. In the proposed system, the Hermite Wavelet-embedded Neural Fuzzy (HWNF)-based gradient estimator is adopted to estimate the gradient term and makes the controller indirect. The performance of the proposed controller is compared with different conventional and intelligent MPPT control techniques. MATLAB results show the superiority over other existing techniques in terms of fast response, power quality and efficiency.

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“…In [25], [26], [27], and [28] describe a two-stage single-phase grid-connected PV system based on backstepping control for power factor correction and maximum power tracking. These works utilize a DC-DC boost converter to track the maximum power from the PV array and to regulate the input voltage to the inverter, and a single-phase full-bridge DC-AC converter (inverter) to supply active power with unity power factor on the grid side.…”

Section: List Of Tablesmentioning

confidence: 99%

“…In [25] the squared output voltage of the DC-DC converter tracks a given squared reference voltage, which reference voltage is a given value higher than the peak voltage of the grid. In [26] and [28] a PI controller is utilized to regulate the output voltage of the DC-DC boost converter. In [27], the derivative of the squared output voltage of the DC-DC converter is modeled as an integrator perturbed with a cosine signal of double frequency to track the output reference voltage and to reject any disturbance.…”

Section: List Of Tablesmentioning

confidence: 99%

Grid-connected photovoltaic systems based on nonlinear control.

Rivera¹

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Solar energy, considered as abundant and clean renewable energy source, has been utilized for a variety of applications such as generation of electricity for low and medium power. Nowadays, due to the high-scale penetration of photovoltaic systems, reliable and efficient grid-connected photovoltaic (PV) systems using the advances of power electronics and control system technology are desirable. Thus, single-stage gridconnected photovoltaic systems, have gained attention, especially in low voltage applications. However, PV systems exhibit nonlinear behavior due to the intrinsic features of the PV cell and nonlinear switching functions of the inverter that could negatively affect the performance of the system if they are not adequately compensated for. In this dissertation, using the general structure for the synchronous dq0 frame, a single-stage three-phase grid-connected photovoltaic inverter with a nonlinear control strategy is developed to track the maximum power regardless of the atmospheric conditions and to control the active and reactive power without the necessity of an additional power converter. A novel trajectory of the reference current is obtained online taking into account the dynamics of the DC link capacitor and the switching function of the inverter. v Furthermore, due to increased penetration of low-power single-phase PV systems in residential applications, a single-stage single-phase grid-connected PV system with a nonlinear control strategy is proposed in this dissertation. Unlike to the three-phase system, the single-phase system includes a novel method to mitigate the double linefrequency current ripple of the PV array, which is the major drawback of the single-phase PV inverter. Moreover, based on the preceded work, the nonlinear controller is combined with adaptive control to estimate the unknown disturbances that physically could appear in the circuit and affect the performance of the system. Additionally, in this study, the stability of the system and boundedness of signals of the closed-loop system are demonstrated by Lyapunov stability analysis for both the three-phase system and the single-phase system respectively. Simulation results show the effectiveness and robustness of the proposed controllers to track the maximum power and to control the active and reactive power to sudden changes in the atmospheric conditions and changes in the load.

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Robust adaptive integral backstepping control for MPPT and UPF of PV system connected to the grid

Cited by 6 publications

References 20 publications

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Integral Backstepping Control of Three phase Grid Connected Photovoltaic Systems for Power Optimization

Neuro-Fuzzy Wavelet Based Adaptive MPPT Algorithm for Photovoltaic Systems

Grid-connected photovoltaic systems based on nonlinear control.

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