Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System

Napole, Cristian; Derbeli, Mohamed; Barambones, Óscar

doi:10.3390/app11135927

Cited by 19 publications

(11 citation statements)

References 57 publications

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“…Offline was not considered to be sufficient as non-linearities were expected during the experiments. Since SMC and MPC required a reference current/voltage that corresponded to the MPP, this was obtained via different techniques of previous works [117][118][119][120][121][122][123]. However, most of these approaches have a lack of accuracy which results in a low tracking efficiency.…”

Section: Experimental Case Studymentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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Section: Experimental Case Studymentioning

confidence: 99%

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

Self Cite

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“…Fuzzy Logic is implemented to get the MPP operating voltage point faster with less overshoot; it can also minimize overshoot and the voltage fluctuation after extracting MPPT. The control objective is to track the maximum power in order to make the PV panel operating with high efficiency [33,34]. To design FLC, the variables that represent the dynamic performance of the system must be chosen as inputs.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions

Bouksaim

Mekhfioui

Srifi

2021

Designs

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Maximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load to obtain the desired voltage level on the load side. In this paper, incremental conductance (INC) algorithm, modified INC, and fuzzy logic controller (FLC) are designed and assessed to improve energy conversion efficiency. These algorithms are applied to the control of boost converter for tracking the maximum power point (MPP). The modified INC offers fast response and good performance in terms of oscillations than conventional INC and FLC. The Matlab/Simulink environment is used to analyze, interpret the simulation results, and show the performances of each algorithm; and Proteus-based Arduino environment is used to implement the three methods in order to compare the Matlab simulation results with measurements acquired during implementation that is similar to real experiment.

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“…A problem with GMPPT is poor tracking speed and efficiency in commercial. A new rectangular wave of power comparison (RPC) based GMPPT method was established that uses a basic relationship between shading factor, voltage of shunt diode and GMPP [21]. The best performance can be achieved when using MPPT, which is a challenge due to the complexity of MPPT PV system design during the day due to fluctuations in solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Smart fuzzy logic control of photovoltaic system: case study Kingdom of Saudi Arabia

Khalaf

Alshahrani²,

Alsubaie³

et al. 2023

IJEECS

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Robust controls of photovoltaic (PV) system applications that include modular multilevel inverter (MMI) for interfacing stand-alone and gridconnected operating modes are investigated in this paper to overcome interfacing problems of two-level and three-level inverters. The MMI provides high-quality voltage, current, and power signals without additional filters, which reduces complexity and cost of interface circuits. A new control method of active and reactive power has been introduced for PV systems to get maximum power point (MPP) in various climatic circumstances. The steady-state and dynamic performances of MMI are investigated using MATLAB/Simulink. A fuzzy logic control is proposed to track the MPP utilizing the perturb and observe (P&O) technique. A fair comparison between fuzzy logic control and proportional integral (PI) control was conducted using MATLAB/Simulink. The fuzzy logic controller for obtaining MPPT by P&O method is proposed to get fast and accurate results. The obtained results obvioused that the fuzzy logic controller is quick accessing MPP than PI controller. A simple LC filter can achieve minimum harmonics provided by total harmonic distortion (THD) of MMI within IEEE limit. The PV system for standalone and grid-connected modes is being tested under climatic conditions in the city of Tabuk, Kingdom of Saudi Arabia (KSA).

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Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System

Cited by 19 publications

References 57 publications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions

Smart fuzzy logic control of photovoltaic system: case study Kingdom of Saudi Arabia

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