Implementation of fuzzy-sliding mode based control of a grid connected photovoltaic system

Menadi, Abdelkrim; Abdeddaim, Sabrina; Ghamri, A.; Betka, Achour

doi:10.1016/j.isatra.2015.06.009

Cited by 41 publications

(15 citation statements)

References 21 publications

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“…For the MPPT tracking method, the establishment of a fuzzy logic controller (FLC) is realized in three essential steps: fuzzification, inference with rule bases, and defuzzification [27], as shown in Fig. 3.…”

Section: Fuzzy Logic Mppt Controller Designmentioning

confidence: 99%

Fuzzy-predictive direct power control implementation of a grid connected photovoltaic system, associated with an active power filter

Ouchen

Betka

Abdeddaim

et al. 2016

Energy Conversion and Management

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Section: Fuzzy Logic Mppt Controller Designmentioning

confidence: 99%

Fuzzy-predictive direct power control implementation of a grid connected photovoltaic system, associated with an active power filter

Ouchen

Betka

Abdeddaim

et al. 2016

Energy Conversion and Management

Self Cite

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“…where, i out is the boost output current, i inv inverter input current and C dc is the DC-Link capacitor. By substituting Equations (24) and (25) in Equation (22), it yields…”

Section: Design Of Dc-link Voltage Controllermentioning

confidence: 99%

“…The purpose of this regulation is to maintain the DC-Link voltage to its desired value as well as to estimate the reference power or current for the grid-side inverter controller. For this purpose, a proportional−integral (PI) or fuzzy controllers are widely used in the literature [24][25][26][27]. However, PI regulator suffers from long response time and inaccurate regulation under solar irradiation changes.…”

Section: Introductionmentioning

confidence: 99%

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A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

et al. 2018

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This contribution considers an improved control scheme for three-phase two-stage grid-tied photovoltaic (PV) power systems based on integral sliding mode control (ISMC) theory. The proposed control scheme consists of maximum power point tracking (MPPT), DC-Link voltage regulation and grid current synchronization. A modified voltage-oriented maximum power point tracking (VO-MPPT) method based on ISMC theory is proposed for design of an enhanced MPPT under irradiation changes. Moreover, a novel DC-Link voltage controller based on ISMC theory is proposed to achieve good regulation of DC-Link voltage over its reference. To inject the generated PV power into the grid with high quality, a voltage-oriented control based on space vector modulation (SVM) and ISMC (VOC-ISMC-SVM) has been developed to control the grid current synchronization. Numerical simulations are performed in a MATLAB/Simulink TM (R2009b, MathWorks, Natick, MA, USA) environment to evaluate the proposed control strategy. In comparison with conventional control schemes, the developed control strategy provides an accurate maximum power point (MPP) tracking with less power oscillation as well as a fast and an accurate DC-Link regulation under varying irradiation conditions. Moreover, the transfer of the extracted power into the grid is achieved with high quality.

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“…However, these conventional methods generally [9], particle swarm optimization (PSO) method [10], [11], fireworks-enriched algorithm (FE) [12], [13], and fuzzy logic controller (FLC)-based Mamdani or T-S model [14]- [16]. The FLC has been introduced to overcome the limitations of P&O or hill-climbing algorithm [17]. As reported in [18], the FLC can be combined with hillclimbing (HC) technique to avoid the drawback of conventional HC.…”

mentioning

confidence: 99%

A Fuzzy Logic Controller Based on Maximum Power Point Tracking Algorithm for Partially Shaded PV Array-Experimental Validation

Benlahbib¹,

Bouarroudj²,

Mekhilef³

et al. 2018

ElAEE

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In the last two decades, the maximum power point tracking (MPPT) methods for PV system is becoming very interesting subject. Among these methods there is Fuzzy-MPPT, which is mainly based on two inputs and at least 25 rules. This structure need more calculation time and not easy to be implemented in hardware. For these reasons and in order to facilitate the MPPT synthesis, this paper proposes an intelligent MPPT controller based on a single-input Takagi-Sugeno fuzzy logic controller (SI-TS-FLC) with three linguistic variables and three rules. The proposed controller is simulated using MATLAB-SIMULINK for a PV system, which consists of a PV generator, DC-DC converter, and resistive load under varied temperature and irradiance levels. An experimental study is conducted using DSPACE 1104 card real-time board under partial shading condition. Simulation and experimental results show that the proposed controller exhibits less settling time and lower overshoot than the commonly used perturb and observe (P&O) algorithm in the transient state and minimum oscillation around the optimal operating point. Index Terms-Fuzzy control; Maximum power point trackers; Photovoltaic systems; Takagi-Sugeno model. I. INTRODUCTION Currently, environment pollution issues, particularly climate change, cannot be neglected. According to many scientists, climate change is mainly due to the disastrous effects of emissions of greenhouse gases, particularly CO2, which are responsible for global warming and increase in the earth's temperature. Global warming causes several natural cataclysms, such as floods, cyclones, soil erosion, and losses in genetic diversity, in several locations worldwide. These natural disasters present an unprecedented ecological threat

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Implementation of fuzzy-sliding mode based control of a grid connected photovoltaic system

Cited by 41 publications

References 21 publications

Fuzzy-predictive direct power control implementation of a grid connected photovoltaic system, associated with an active power filter

Fuzzy-predictive direct power control implementation of a grid connected photovoltaic system, associated with an active power filter

A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

A Fuzzy Logic Controller Based on Maximum Power Point Tracking Algorithm for Partially Shaded PV Array-Experimental Validation

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