Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

Chalok, Kadhim Hamzah; Tajuddin, Mohammad Faridun Naim; Babu, T. Narendiranath; Ayob, Shahrin Md.; Sutikno, Tole

doi:10.11591/ijpeds.v11.i3.pp1628-1639

Cited by 10 publications

(12 citation statements)

References 26 publications

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“…Sigmoidal: 𝑓(𝑧) = The maen square error (MSE) is considered for evaluating the effectiveness of the presented NN algorithm. This parameter is demonstrated in (12), which indicates the difference between the target and predicted values. A smaller value of MSE indicates the accurate performance of the designed ANN algorithm.…”

Section: Algorithm Of Artificial Neural Networkmentioning

confidence: 99%

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Intelligent maximum power point tracker enhanced by sliding mode control

Attia

Elkhateb

2022

IJPEDS

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In solar photovoltaic systems applications, the maximum power point tracker has been involved for different purposes to support their performance. The maximum power point tracking (MPPT) works on growing the obtained electricity from the solar photovoltaic energy and consequently increases the quantity of the delivered electrical power from the photovoltaic (PV) system. Relying on this point, this paper introduces an intelligent tracker to guarantee the MPP working condition for a small size 150 W stand-alone PV system. In this study, an intelligent algorithm is proposed to have a fast and accurate tracker. Moreover, a robust sliding mode controller is inserted for improving the performance of a direct current (DC-DC) boost converter. The converter is working in a continuous conduction mode operation to enhances the MPP tracker. Simulink of MATLAB is adopted to implement the system. The results of the simulated tracker are evaluated comparatively based on the artificial neural network (ANN) algorithm with and without inserting the sliding mode (SM) controller for different light intensity trends and levels. Simulation results analyzed and confirmed the effectiveness of the proposed tracker.

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Section: Algorithm Of Artificial Neural Networkmentioning

confidence: 99%

“…A precise and quick response of fuzzy logic controller has been proposed through sensorless strategy in [11]. The effectiveness of the FLC controller is analyzed in [12]- [16] through studying membership effect on the stability behavior of the MPPT tracker for different purposes PV system.…”

Section: Introductionmentioning

confidence: 99%

Intelligent maximum power point tracker enhanced by sliding mode control

Attia

Elkhateb

2022

IJPEDS

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“…The research so far has only proved its usefulness, and no uniform rules related to the setting and adjustment of the weight analysis table have been formed. Therefore, if specific rules are found in the selection of gravimetric analysis curve, then the engineering application of fuzzy logic is undoubtedly an important guide (Boukezata, Chaoui, Gaubert, et al, 2016; Chalok, Faridun, Tajuddin, et al, 2020).…”

Section: Fuzzy Logic Control Theorymentioning

confidence: 99%

Fuzzy logic control theory in clinical anesthesia

2021

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In the context of big data, the application of fuzzy logic control theory to clinical anesthesia will produce more research directions and new technologies. This article mainly studies the application of fuzzy logic control theory in clinical anesthesia. First, after introducing the basic content of fuzzy logic control theory, the determination method of commonly used membership functions, the relevant knowledge of clinical anesthesia, and the fuzzy logic code rate control model, this article describes in detail the basic principle diagram of the clinical anesthesia control system and the clinical anesthesia process Mechanism model. The mathematical model of clinical anesthesia control system is constructed based on the data fusion technology of the parameters of anesthesia depth monitoring. The parameters in the model are adjusted by the time domain analysis method to measure the dynamic characteristics, and the stability of the system is analyzed by root locus method. The heart rate does not change significantly when it is lower than 1 MAC, and the heart rate increases when it reaches 1.5–2 MAC. Experimental results show that the application of fuzzy logic control theory to clinical anesthesia can reduce the risk of clinical anesthesia.

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“…However, being able to be sized for domestic use, renewable energy sources lend themselves particularly well to the production of electricity called isolated sites, or micro-grids. They are then often associated with batteries, which ensure the storage of energy in the event of excess production, or to compensate for the momentary lack of power during peak consumption [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A hybrid renewable energy production system using a smart controller based on fuzzy logic

Moussa

Derrouazin

Latroch

et al. 2022

Electrical Engineering & Electromechanics

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Introduction. This article proposes an improved energy management and optimization system with an intelligent economic strategy based on fuzzy logic technology with multiple inputs and outputs (I/O). It is used to control hybrid electric energy sources built around photovoltaic solar panels, wind turbine and electric energy storage system assisted by the electric grid. The novelty in this work that solar photovoltaic, wind turbine and storage system energy sources are prioritized over the grid network which is solicited only during adverse weather conditions, in order to supply a typical household using up to 4,000 Wh per day. In addition of that, the surplus of renewable energy produced during favorable climatic condition is used to produce hydrogen suitable for household heating and cooking using eletrolyzer system. Purpose. Development of improved energy management and optimization system with an intelligent economic strategy based on fuzzy logic technology. This system is embedded on Arduino 2560 mega microcontroller, on which the fundamental program of fuzzy logic and the distribution of events with all possible scenarios have been implemented according to a flowchart allowing the management of the hybrid system. Methods as well as a parametric search and a simulation to characterize the system, are carried out in order to put on the proposed techniques to ensure continuous accommodation at home. Results. The proposed system results confirm their effectiveness by visualizing the output control signals from the electronic switches. Practical value of which transmits power through a single-phase DC/AC converter to power the AC load for the accommodation.

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Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

Cited by 10 publications

References 26 publications

Intelligent maximum power point tracker enhanced by sliding mode control

Intelligent maximum power point tracker enhanced by sliding mode control

Fuzzy logic control theory in clinical anesthesia

A hybrid renewable energy production system using a smart controller based on fuzzy logic

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