Backstepping sliding mode control for maximum power point tracking of a photovoltaic system

Dahech, Karim; Allouche, Moez; Damak, Tarak; Tadeo, Fernando

doi:10.1016/j.epsr.2016.10.043

Cited by 88 publications

(55 citation statements)

References 21 publications

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“…Due to the fact that the switching is not ideal, the result is always oscillating in practice, around the slip surface. If the oscillation is assumed to be H/2, according to (4):…”

Section: Stability Conditionmentioning

confidence: 99%

“…The latter approach is the so‐called maximum power point tracking (MPPT) algorithm. The MPPT methods can be mainly classified as follows: offline, online, and hybrid …”

Section: Introductionmentioning

confidence: 99%

“…The MPPT methods can be mainly classified as follows: offline, online, 2,3 and hybrid. 4 Off-line technique is operated based on an approximation of the open-circuit voltage 5 or the shortcircuit 6 coefficient. This is a simple procedure, but it is not sufficiently precise.…”

Section: Introductionmentioning

confidence: 99%

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Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

Shahdadi

Barakati

Khajeh

2019

Engineering Reports

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In this paper, a standalone photovoltaic (PV) system with an improved sliding mode control (SMC) based on the maximum power point tracking algorithm is presented. The system contains a solar panel, a single‐ended primary‐inductor converter, a control part, and a load. Because of the nonlinear behavior of the switching and solar panels, designing a nonlinear controller for the system is crucial. The principal purpose of this study is to propose a new approach to resist the PV system against uncertain conditions. The stability and robustness of the system are investigated in a normal situation, under uncertainty conditions, as well as under changes in environmental conditions. Both simulation and laboratory experimental results show that the controller has a precise and fast response in comparison with a more conventional controller.

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“…Due to the fact that the switching is not ideal, the result is always oscillating in practice, around the slip surface. If the oscillation is assumed to be H/2, according to (4):…”

Section: Stability Conditionmentioning

confidence: 99%

“…The latter approach is the so‐called maximum power point tracking (MPPT) algorithm. The MPPT methods can be mainly classified as follows: offline, online, and hybrid …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

Shahdadi

Barakati

Khajeh

2019

Engineering Reports

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show abstract

“…Actually, there are several sources of renewable energy, wind energy, hydropower, geothermal energy, biomass, biofuel and solar energy [1]. Wind and solar electric power generation systems are popular renewable energy resources [2].…”

Section: Introductionmentioning

confidence: 99%

A Complete Modeling and Control for Wind Turbine Based of a Doubly Fed Induction Generator using Direct Power Control

Senani¹,

Rahab²,

Benalla³

2017

IJPEDS

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The paper presents the complete modeling and control strategy of variable speed wind turbine system (WTS) driven doubly fed induction generators (DFIG). A back-to-back converter is employed for the power conversion exchanged between DFIG and grid. The wind turbine is operated at the maximum power point tracking (MPPT) mode its maximum efficiency. Direct power control (DPC) based on selecting of the appropriate rotor voltage vectors and the errors of the active and reactive power, the control strategy of rotor side converter combines the technique of MPPT and direct power control. In the control system of the grid side converter the direct power control has been used to maintain a constant DC-Link voltage, and the reactive power is set to 0. Simulations results using MATLAB/SIMULINK are presented and discussed on a 1.5MW DFIG wind generation system demonstrate the effectiveness of the proposed control. Keyword:Back-to-back converter DFIG DPC MPPT WTS Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Senani Fawzi, Laboratoire de l'Electrotechnique de Constantine (LEC), Faculté des Sciences de la Technologie, Université des frères Mentouri de Constantine 1, Ain el-bey 25000 Constantine, Algerie. Email: senani.fouzi@gmail.com INTRODUCTIONActually, there are several sources of renewable energy, wind energy, hydropower, geothermal energy, biomass, biofuel and solar energy [1]. Wind and solar electric power generation systems are popular renewable energy resources [2]. The wind energy conversion system (WECS) has been considered to be one of the main energy resources are growing rapidly among the other renewable generation power technologies due to its freely available, clean and renewable character [3][4][5]. Wind energy conversion systems are basically divided into two fixed and variable speed.Variable speed WECS have been many advantages: operation at maximized power capture over a wide range of wind speeds, reduced mechanical stresses imposed on the turbine, and improved power quality compared with fixed speed WECS[5], [6]. The variable speed WECS using the DFIGs are suitable and promising for application in wind energy. The DFIG is particularly employed for high-power applications, due to the lower converters cost and lower power losses [7].The WECS based DFIGs control comprises both the rotor side converter (RSC) combines the technique of MPPT and grid side converter (GSC) controllers so that the RSC controls stator active and reactive powers and the GSC regulates dc-link voltage as well as generates an independent reactive power that is injected into the grid [7], [8], for RSC traditionally the vector control (VC) based on a stator flux orientation [7], [9] using proportional-integral (PI) controllers [10], However, it has some disadvantages, such as its dependence on the machine parameters variation, that its performance largely depends on the tuning of the PI parameters, must be optimally tuned to ensure the system stability within the whole operating range

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“…In recent years, there has been an intense increasing of applications of model based control technique in the field of power systems [1,2]. Among all these techniques, the FBL allows providing an algebraic linearization of the nonlinear system and, for MIMO processes, the decoupling of the dynamics of the regulated channels [3].…”

Section: Introductionmentioning

confidence: 99%

A two frame feedback linearization scheme for the control of fully rated wind generating units

Bonfiglio

Grigoli

Procopio

et al. 2017

2017 IEEE Manchester PowerTech

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Backstepping sliding mode control for maximum power point tracking of a photovoltaic system

Cited by 88 publications

References 21 publications

Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

A Complete Modeling and Control for Wind Turbine Based of a Doubly Fed Induction Generator using Direct Power Control

A two frame feedback linearization scheme for the control of fully rated wind generating units

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